diff --git a/.github/workflows/build.yaml b/.github/workflows/build.yaml
index 11a95f4b7..395a0b6a6 100644
--- a/.github/workflows/build.yaml
+++ b/.github/workflows/build.yaml
@@ -59,7 +59,7 @@ jobs:
 
   build-and-push-image:
     concurrency:
-      group: ${{ github.workflow }}-${{ github.job }}-${{ github.head_ref || github.run_id }}
+      group: ${{ github.workflow }}-build-and-push-image-${{ github.head_ref || github.run_id }}
       cancel-in-progress: true
     needs: start-runner # required to start the main job when the runner is ready
     runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runner
@@ -146,6 +146,95 @@ jobs:
           cache-from: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache,mode=min
           cache-to: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache,mode=min
 
+  build-and-push-image-rocm:
+    concurrency:
+      group: ${{ github.workflow }}-build-and-push-image-rocm-${{ github.head_ref || github.run_id }}
+      cancel-in-progress: true
+    needs: start-runner # required to start the main job when the runner is ready
+    runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runner
+    permissions:
+      contents: write
+      packages: write
+      # This is used to complete the identity challenge
+      # with sigstore/fulcio when running outside of PRs.
+      id-token: write
+      security-events: write
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v3
+      - name: Initialize Docker Buildx
+        uses: docker/setup-buildx-action@v2.0.0
+        with:
+          install: true
+      - name: Inject slug/short variables
+        uses: rlespinasse/github-slug-action@v4.4.1
+      - name: Tailscale
+        uses: tailscale/github-action@7bd8039bf25c23c4ab1b8d6e2cc2da2280601966
+        with:
+          authkey: ${{ secrets.TAILSCALE_AUTHKEY }}
+      - name: Login to GitHub Container Registry
+        if: github.event_name != 'pull_request'
+        uses: docker/login-action@v2
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.GITHUB_TOKEN }}
+      - name: Login to internal Container Registry
+        uses: docker/login-action@v2.1.0
+        with:
+          username: ${{ secrets.TAILSCALE_DOCKER_USERNAME }}
+          password: ${{ secrets.TAILSCALE_DOCKER_PASSWORD }}
+          registry: registry.internal.huggingface.tech
+      - name: Login to Azure Container Registry
+        if: github.event_name != 'pull_request'
+        uses: docker/login-action@v2.1.0
+        with:
+          username: ${{ secrets.AZURE_DOCKER_USERNAME }}
+          password: ${{ secrets.AZURE_DOCKER_PASSWORD }}
+          registry: db4c2190dd824d1f950f5d1555fbadf0.azurecr.io
+      # If pull request
+      - name: Extract metadata (tags, labels) for Docker
+        if: ${{ github.event_name == 'pull_request' }}
+        id: meta-pr
+        uses: docker/metadata-action@v4.3.0
+        with:
+          images: |
+            registry.internal.huggingface.tech/api-inference/community/text-generation-inference
+          tags: |
+            type=raw,value=sha-${{ env.GITHUB_SHA_SHORT }}-rocm
+      # If main, release or tag
+      - name: Extract metadata (tags, labels) for Docker
+        if: ${{ github.event_name != 'pull_request' }}
+        id: meta
+        uses: docker/metadata-action@v4.3.0
+        with:
+          flavor: |
+            latest=false
+          images: |
+            registry.internal.huggingface.tech/api-inference/community/text-generation-inference
+            ghcr.io/huggingface/text-generation-inference
+            db4c2190dd824d1f950f5d1555fbadf0.azurecr.io/text-generation-inference
+          tags: |
+            type=semver,pattern={{version}}-rocm
+            type=semver,pattern={{major}}.{{minor}}-rocm
+            type=raw,value=latest-rocm,enable=${{ github.ref == format('refs/heads/{0}', github.event.repository.default_branch) }}
+            type=raw,value=sha-${{ env.GITHUB_SHA_SHORT }}-rocm
+      - name: Build and push Docker image
+        id: build-and-push
+        uses: docker/build-push-action@v4
+        with:
+          context: .
+          file: Dockerfile_amd
+          push: true
+          platforms: 'linux/amd64'
+          build-args: |
+            GIT_SHA=${{ env.GITHUB_SHA }}
+            DOCKER_LABEL=sha-${{ env.GITHUB_SHA_SHORT }}-rocm
+          tags: ${{ steps.meta.outputs.tags || steps.meta-pr.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels || steps.meta-pr.outputs.labels }}
+          cache-from: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache-rocm,mode=min
+          cache-to: type=registry,ref=registry.internal.huggingface.tech/api-inference/community/text-generation-inference:cache-rocm,mode=min
+
   integration-tests:
     concurrency:
       group: ${{ github.workflow }}-${{ github.job }}-${{ github.head_ref || github.run_id }}
@@ -153,6 +242,7 @@ jobs:
     needs:
       - start-runner
       - build-and-push-image # Wait for the docker image to be built
+      - build-and-push-image-rocm
     runs-on: ${{ needs.start-runner.outputs.label }} # run the job on the newly created runner
     env:
       DOCKER_VOLUME: /cache
@@ -187,6 +277,7 @@ jobs:
     needs:
       - start-runner
       - build-and-push-image
+      - build-and-push-image-rocm
       - integration-tests
     runs-on: ubuntu-latest
     env:
diff --git a/Cargo.lock b/Cargo.lock
index b1f7279a4..fa1a45a75 100644
--- a/Cargo.lock
+++ b/Cargo.lock
@@ -19,38 +19,30 @@ checksum = "f26201604c87b1e01bd3d98f8d5d9a8fcbb815e8cedb41ffccbeb4bf593a35fe"
 
 [[package]]
 name = "ahash"
-version = "0.8.3"
+version = "0.8.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2c99f64d1e06488f620f932677e24bc6e2897582980441ae90a671415bd7ec2f"
+checksum = "91429305e9f0a25f6205c5b8e0d2db09e0708a7a6df0f42212bb56c32c8ac97a"
 dependencies = [
  "cfg-if",
  "once_cell",
  "version_check",
+ "zerocopy",
 ]
 
 [[package]]
 name = "aho-corasick"
-version = "0.7.20"
+version = "1.1.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cc936419f96fa211c1b9166887b38e5e40b19958e5b895be7c1f93adec7071ac"
-dependencies = [
- "memchr",
-]
-
-[[package]]
-name = "aho-corasick"
-version = "1.1.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ea5d730647d4fadd988536d06fecce94b7b4f2a7efdae548f1cf4b63205518ab"
+checksum = "b2969dcb958b36655471fc61f7e416fa76033bdd4bfed0678d8fee1e2d07a1f0"
 dependencies = [
  "memchr",
 ]
 
 [[package]]
 name = "anstream"
-version = "0.5.0"
+version = "0.6.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b1f58811cfac344940f1a400b6e6231ce35171f614f26439e80f8c1465c5cc0c"
+checksum = "2ab91ebe16eb252986481c5b62f6098f3b698a45e34b5b98200cf20dd2484a44"
 dependencies = [
  "anstyle",
  "anstyle-parse",
@@ -62,15 +54,15 @@ dependencies = [
 
 [[package]]
 name = "anstyle"
-version = "1.0.3"
+version = "1.0.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b84bf0a05bbb2a83e5eb6fa36bb6e87baa08193c35ff52bbf6b38d8af2890e46"
+checksum = "7079075b41f533b8c61d2a4d073c4676e1f8b249ff94a393b0595db304e0dd87"
 
 [[package]]
 name = "anstyle-parse"
-version = "0.2.1"
+version = "0.2.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "938874ff5980b03a87c5524b3ae5b59cf99b1d6bc836848df7bc5ada9643c333"
+checksum = "317b9a89c1868f5ea6ff1d9539a69f45dffc21ce321ac1fd1160dfa48c8e2140"
 dependencies = [
  "utf8parse",
 ]
@@ -86,9 +78,9 @@ dependencies = [
 
 [[package]]
 name = "anstyle-wincon"
-version = "2.1.0"
+version = "3.0.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "58f54d10c6dfa51283a066ceab3ec1ab78d13fae00aa49243a45e4571fb79dfd"
+checksum = "f0699d10d2f4d628a98ee7b57b289abbc98ff3bad977cb3152709d4bf2330628"
 dependencies = [
  "anstyle",
  "windows-sys 0.48.0",
@@ -136,18 +128,18 @@ checksum = "16e62a023e7c117e27523144c5d2459f4397fcc3cab0085af8e2224f643a0193"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
 name = "async-trait"
-version = "0.1.73"
+version = "0.1.74"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bc00ceb34980c03614e35a3a4e218276a0a824e911d07651cd0d858a51e8c0f0"
+checksum = "a66537f1bb974b254c98ed142ff995236e81b9d0fe4db0575f46612cb15eb0f9"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -269,9 +261,9 @@ checksum = "9e1b586273c5702936fe7b7d6896644d8be71e6314cfe09d3167c95f712589e8"
 
 [[package]]
 name = "base64"
-version = "0.21.4"
+version = "0.21.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9ba43ea6f343b788c8764558649e08df62f86c6ef251fdaeb1ffd010a9ae50a2"
+checksum = "35636a1494ede3b646cc98f74f8e62c773a38a659ebc777a2cf26b9b74171df9"
 
 [[package]]
 name = "bitflags"
@@ -281,9 +273,9 @@ checksum = "bef38d45163c2f1dde094a7dfd33ccf595c92905c8f8f4fdc18d06fb1037718a"
 
 [[package]]
 name = "bitflags"
-version = "2.4.0"
+version = "2.4.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b4682ae6287fcf752ecaabbfcc7b6f9b72aa33933dc23a554d853aea8eea8635"
+checksum = "327762f6e5a765692301e5bb513e0d9fef63be86bbc14528052b1cd3e6f03e07"
 
 [[package]]
 name = "block-buffer"
@@ -302,15 +294,15 @@ checksum = "7f30e7476521f6f8af1a1c4c0b8cc94f0bee37d91763d0ca2665f299b6cd8aec"
 
 [[package]]
 name = "bytecount"
-version = "0.6.3"
+version = "0.6.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2c676a478f63e9fa2dd5368a42f28bba0d6c560b775f38583c8bbaa7fcd67c9c"
+checksum = "e1e5f035d16fc623ae5f74981db80a439803888314e3a555fd6f04acd51a3205"
 
 [[package]]
 name = "byteorder"
-version = "1.4.3"
+version = "1.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "14c189c53d098945499cdfa7ecc63567cf3886b3332b312a5b4585d8d3a6a610"
+checksum = "1fd0f2584146f6f2ef48085050886acf353beff7305ebd1ae69500e27c67f64b"
 
 [[package]]
 name = "bytes"
@@ -341,9 +333,9 @@ checksum = "baf1de4339761588bc0619e3cbc0120ee582ebb74b53b4efbf79117bd2da40fd"
 
 [[package]]
 name = "clap"
-version = "4.4.5"
+version = "4.4.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "824956d0dca8334758a5b7f7e50518d66ea319330cbceedcf76905c2f6ab30e3"
+checksum = "41fffed7514f420abec6d183b1d3acfd9099c79c3a10a06ade4f8203f1411272"
 dependencies = [
  "clap_builder",
  "clap_derive",
@@ -351,9 +343,9 @@ dependencies = [
 
 [[package]]
 name = "clap_builder"
-version = "4.4.5"
+version = "4.4.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "122ec64120a49b4563ccaedcbea7818d069ed8e9aa6d829b82d8a4128936b2ab"
+checksum = "63361bae7eef3771745f02d8d892bec2fee5f6e34af316ba556e7f97a7069ff1"
 dependencies = [
  "anstream",
  "anstyle",
@@ -363,21 +355,21 @@ dependencies = [
 
 [[package]]
 name = "clap_derive"
-version = "4.4.2"
+version = "4.4.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0862016ff20d69b84ef8247369fabf5c008a7417002411897d40ee1f4532b873"
+checksum = "cf9804afaaf59a91e75b022a30fb7229a7901f60c755489cc61c9b423b836442"
 dependencies = [
  "heck",
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
 name = "clap_lex"
-version = "0.5.1"
+version = "0.6.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cd7cc57abe963c6d3b9d8be5b06ba7c8957a930305ca90304f24ef040aa6f961"
+checksum = "702fc72eb24e5a1e48ce58027a675bc24edd52096d5397d4aea7c6dd9eca0bd1"
 
 [[package]]
 name = "colorchoice"
@@ -416,9 +408,9 @@ checksum = "e496a50fda8aacccc86d7529e2c1e0892dbd0f898a6b5645b5561b89c3210efa"
 
 [[package]]
 name = "cpufeatures"
-version = "0.2.9"
+version = "0.2.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a17b76ff3a4162b0b27f354a0c87015ddad39d35f9c0c36607a3bdd175dde1f1"
+checksum = "ce420fe07aecd3e67c5f910618fe65e94158f6dcc0adf44e00d69ce2bdfe0fd0"
 dependencies = [
  "libc",
 ]
@@ -481,7 +473,7 @@ version = "0.27.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "f476fe445d41c9e991fd07515a6f463074b782242ccf4a5b7b1d1012e70824df"
 dependencies = [
- "bitflags 2.4.0",
+ "bitflags 2.4.1",
  "crossterm_winapi",
  "libc",
  "mio",
@@ -557,9 +549,12 @@ dependencies = [
 
 [[package]]
 name = "deranged"
-version = "0.3.8"
+version = "0.3.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f2696e8a945f658fd14dc3b87242e6b80cd0f36ff04ea560fa39082368847946"
+checksum = "0f32d04922c60427da6f9fef14d042d9edddef64cb9d4ce0d64d0685fbeb1fd3"
+dependencies = [
+ "powerfmt",
+]
 
 [[package]]
 name = "derive_builder"
@@ -681,30 +676,19 @@ checksum = "5443807d6dff69373d433ab9ef5378ad8df50ca6298caf15de6e52e24aaf54d5"
 
 [[package]]
 name = "errno"
-version = "0.3.3"
+version = "0.3.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "136526188508e25c6fef639d7927dfb3e0e3084488bf202267829cf7fc23dbdd"
+checksum = "a258e46cdc063eb8519c00b9fc845fc47bcfca4130e2f08e88665ceda8474245"
 dependencies = [
- "errno-dragonfly",
- "libc",
- "windows-sys 0.48.0",
-]
-
-[[package]]
-name = "errno-dragonfly"
-version = "0.1.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "aa68f1b12764fab894d2755d2518754e71b4fd80ecfb822714a1206c2aab39bf"
-dependencies = [
- "cc",
  "libc",
+ "windows-sys 0.52.0",
 ]
 
 [[package]]
 name = "esaxx-rs"
-version = "0.1.8"
+version = "0.1.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1f748b253ceca9fed5f42f8b5ceb3851e93102199bc25b64b65369f76e5c0a35"
+checksum = "d817e038c30374a4bcb22f94d0a8a0e216958d4c3dcde369b1439fec4bdda6e6"
 dependencies = [
  "cc",
 ]
@@ -723,9 +707,9 @@ checksum = "0ce7134b9999ecaf8bcd65542e436736ef32ddca1b3e06094cb6ec5755203b80"
 
 [[package]]
 name = "flate2"
-version = "1.0.27"
+version = "1.0.28"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c6c98ee8095e9d1dcbf2fcc6d95acccb90d1c81db1e44725c6a984b1dbdfb010"
+checksum = "46303f565772937ffe1d394a4fac6f411c6013172fadde9dcdb1e147a086940e"
 dependencies = [
  "crc32fast",
  "miniz_oxide",
@@ -766,18 +750,18 @@ checksum = "00b0228411908ca8685dba7fc2cdd70ec9990a6e753e89b6ac91a84c40fbaf4b"
 
 [[package]]
 name = "form_urlencoded"
-version = "1.2.0"
+version = "1.2.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "a62bc1cf6f830c2ec14a513a9fb124d0a213a629668a4186f329db21fe045652"
+checksum = "e13624c2627564efccf4934284bdd98cbaa14e79b0b5a141218e507b3a823456"
 dependencies = [
  "percent-encoding",
 ]
 
 [[package]]
 name = "futures"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "23342abe12aba583913b2e62f22225ff9c950774065e4bfb61a19cd9770fec40"
+checksum = "da0290714b38af9b4a7b094b8a37086d1b4e61f2df9122c3cad2577669145335"
 dependencies = [
  "futures-channel",
  "futures-core",
@@ -790,9 +774,9 @@ dependencies = [
 
 [[package]]
 name = "futures-channel"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "955518d47e09b25bbebc7a18df10b81f0c766eaf4c4f1cccef2fca5f2a4fb5f2"
+checksum = "ff4dd66668b557604244583e3e1e1eada8c5c2e96a6d0d6653ede395b78bbacb"
 dependencies = [
  "futures-core",
  "futures-sink",
@@ -800,15 +784,15 @@ dependencies = [
 
 [[package]]
 name = "futures-core"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4bca583b7e26f571124fe5b7561d49cb2868d79116cfa0eefce955557c6fee8c"
+checksum = "eb1d22c66e66d9d72e1758f0bd7d4fd0bee04cad842ee34587d68c07e45d088c"
 
 [[package]]
 name = "futures-executor"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ccecee823288125bd88b4d7f565c9e58e41858e47ab72e8ea2d64e93624386e0"
+checksum = "0f4fb8693db0cf099eadcca0efe2a5a22e4550f98ed16aba6c48700da29597bc"
 dependencies = [
  "futures-core",
  "futures-task",
@@ -817,38 +801,38 @@ dependencies = [
 
 [[package]]
 name = "futures-io"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4fff74096e71ed47f8e023204cfd0aa1289cd54ae5430a9523be060cdb849964"
+checksum = "8bf34a163b5c4c52d0478a4d757da8fb65cabef42ba90515efee0f6f9fa45aaa"
 
 [[package]]
 name = "futures-macro"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "89ca545a94061b6365f2c7355b4b32bd20df3ff95f02da9329b34ccc3bd6ee72"
+checksum = "53b153fd91e4b0147f4aced87be237c98248656bb01050b96bf3ee89220a8ddb"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
 name = "futures-sink"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f43be4fe21a13b9781a69afa4985b0f6ee0e1afab2c6f454a8cf30e2b2237b6e"
+checksum = "e36d3378ee38c2a36ad710c5d30c2911d752cb941c00c72dbabfb786a7970817"
 
 [[package]]
 name = "futures-task"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "76d3d132be6c0e6aa1534069c705a74a5997a356c0dc2f86a47765e5617c5b65"
+checksum = "efd193069b0ddadc69c46389b740bbccdd97203899b48d09c5f7969591d6bae2"
 
 [[package]]
 name = "futures-util"
-version = "0.3.28"
+version = "0.3.29"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "26b01e40b772d54cf6c6d721c1d1abd0647a0106a12ecaa1c186273392a69533"
+checksum = "a19526d624e703a3179b3d322efec918b6246ea0fa51d41124525f00f1cc8104"
 dependencies = [
  "futures-channel",
  "futures-core",
@@ -883,9 +867,9 @@ dependencies = [
 
 [[package]]
 name = "getrandom"
-version = "0.2.10"
+version = "0.2.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "be4136b2a15dd319360be1c07d9933517ccf0be8f16bf62a3bee4f0d618df427"
+checksum = "fe9006bed769170c11f845cf00c7c1e9092aeb3f268e007c3e760ac68008070f"
 dependencies = [
  "cfg-if",
  "libc",
@@ -894,25 +878,25 @@ dependencies = [
 
 [[package]]
 name = "gimli"
-version = "0.28.0"
+version = "0.28.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6fb8d784f27acf97159b40fc4db5ecd8aa23b9ad5ef69cdd136d3bc80665f0c0"
+checksum = "4271d37baee1b8c7e4b708028c57d816cf9d2434acb33a549475f78c181f6253"
 
 [[package]]
 name = "grpc-metadata"
 version = "0.1.0"
 dependencies = [
  "opentelemetry",
- "tonic 0.10.1",
+ "tonic 0.10.2",
  "tracing",
  "tracing-opentelemetry",
 ]
 
 [[package]]
 name = "h2"
-version = "0.3.21"
+version = "0.3.22"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "91fc23aa11be92976ef4729127f1a74adf36d8436f7816b185d18df956790833"
+checksum = "4d6250322ef6e60f93f9a2162799302cd6f68f79f6e5d85c8c16f14d1d958178"
 dependencies = [
  "bytes",
  "fnv",
@@ -920,7 +904,7 @@ dependencies = [
  "futures-sink",
  "futures-util",
  "http",
- "indexmap 1.9.3",
+ "indexmap 2.1.0",
  "slab",
  "tokio",
  "tokio-util",
@@ -944,9 +928,9 @@ dependencies = [
 
 [[package]]
 name = "hashbrown"
-version = "0.14.0"
+version = "0.14.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2c6201b9ff9fd90a5a3bac2e56a830d0caa509576f0e503818ee82c181b3437a"
+checksum = "290f1a1d9242c78d09ce40a5e87e7554ee637af1351968159f4952f028f75604"
 
 [[package]]
 name = "heck"
@@ -962,28 +946,12 @@ checksum = "d77f7ec81a6d05a3abb01ab6eb7590f6083d08449fe5a1c8b1e620283546ccb7"
 
 [[package]]
 name = "hf-hub"
-version = "0.2.0"
+version = "0.3.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ca0a2d78bbd80fdb804b213f675d261eb87060571e1c389bcad8c24add066cf9"
+checksum = "2b780635574b3d92f036890d8373433d6f9fc7abb320ee42a5c25897fc8ed732"
 dependencies = [
  "dirs 5.0.1",
- "indicatif 0.17.7",
- "native-tls",
- "rand",
- "serde",
- "serde_json",
- "thiserror",
- "ureq",
-]
-
-[[package]]
-name = "hf-hub"
-version = "0.3.1"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9caf63dfcf84b1b62532c836035516f5b475b06c906da6f16990d22847aba216"
-dependencies = [
- "dirs 5.0.1",
- "indicatif 0.17.7",
+ "indicatif",
  "log",
  "native-tls",
  "rand",
@@ -1015,9 +983,9 @@ dependencies = [
 
 [[package]]
 name = "http"
-version = "0.2.9"
+version = "0.2.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bd6effc99afb63425aff9b05836f029929e345a6148a14b7ecd5ab67af944482"
+checksum = "8947b1a6fad4393052c7ba1f4cd97bed3e953a95c79c92ad9b051a04611d9fbb"
 dependencies = [
  "bytes",
  "fnv",
@@ -1070,7 +1038,7 @@ dependencies = [
  "httpdate",
  "itoa",
  "pin-project-lite",
- "socket2 0.4.9",
+ "socket2 0.4.10",
  "tokio",
  "tower-service",
  "tracing",
@@ -1110,9 +1078,9 @@ checksum = "b9e0384b61958566e926dc50660321d12159025e767c18e043daf26b70104c39"
 
 [[package]]
 name = "idna"
-version = "0.4.0"
+version = "0.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7d20d6b07bfbc108882d88ed8e37d39636dcc260e15e30c45e6ba089610b917c"
+checksum = "634d9b1461af396cad843f47fdba5597a4f9e6ddd4bfb6ff5d85028c25cb12f6"
 dependencies = [
  "unicode-bidi",
  "unicode-normalization",
@@ -1130,27 +1098,15 @@ dependencies = [
 
 [[package]]
 name = "indexmap"
-version = "2.0.0"
+version = "2.1.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d5477fe2230a79769d8dc68e0eabf5437907c0457a5614a9e8dddb67f65eb65d"
+checksum = "d530e1a18b1cb4c484e6e34556a0d948706958449fca0cab753d649f2bce3d1f"
 dependencies = [
  "equivalent",
- "hashbrown 0.14.0",
+ "hashbrown 0.14.3",
  "serde",
 ]
 
-[[package]]
-name = "indicatif"
-version = "0.15.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7baab56125e25686df467fe470785512329883aab42696d661247aca2a2896e4"
-dependencies = [
- "console",
- "lazy_static",
- "number_prefix 0.3.0",
- "regex",
-]
-
 [[package]]
 name = "indicatif"
 version = "0.17.7"
@@ -1159,7 +1115,7 @@ checksum = "fb28741c9db9a713d93deb3bb9515c20788cef5815265bee4980e87bde7e0f25"
 dependencies = [
  "console",
  "instant",
- "number_prefix 0.4.0",
+ "number_prefix",
  "portable-atomic",
  "unicode-width",
 ]
@@ -1194,27 +1150,9 @@ dependencies = [
 
 [[package]]
 name = "ipnet"
-version = "2.8.0"
+version = "2.9.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "28b29a3cd74f0f4598934efe3aeba42bae0eb4680554128851ebbecb02af14e6"
-
-[[package]]
-name = "itertools"
-version = "0.8.2"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f56a2d0bc861f9165be4eb3442afd3c236d8a98afd426f65d92324ae1091a484"
-dependencies = [
- "either",
-]
-
-[[package]]
-name = "itertools"
-version = "0.9.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "284f18f85651fe11e8a991b2adb42cb078325c996ed026d994719efcfca1d54b"
-dependencies = [
- "either",
-]
+checksum = "8f518f335dce6725a761382244631d86cf0ccb2863413590b31338feb467f9c3"
 
 [[package]]
 name = "itertools"
@@ -1242,9 +1180,9 @@ checksum = "af150ab688ff2122fcef229be89cb50dd66af9e01a4ff320cc137eecc9bacc38"
 
 [[package]]
 name = "js-sys"
-version = "0.3.64"
+version = "0.3.66"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c5f195fe497f702db0f318b07fdd68edb16955aed830df8363d837542f8f935a"
+checksum = "cee9c64da59eae3b50095c18d3e74f8b73c0b86d2792824ff01bbce68ba229ca"
 dependencies = [
  "wasm-bindgen",
 ]
@@ -1257,27 +1195,38 @@ checksum = "e2abad23fbc42b3700f2f279844dc832adb2b2eb069b2df918f455c4e18cc646"
 
 [[package]]
 name = "libc"
-version = "0.2.148"
+version = "0.2.150"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9cdc71e17332e86d2e1d38c1f99edcb6288ee11b815fb1a4b049eaa2114d369b"
+checksum = "89d92a4743f9a61002fae18374ed11e7973f530cb3a3255fb354818118b2203c"
 
 [[package]]
 name = "libm"
-version = "0.2.7"
+version = "0.2.8"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f7012b1bbb0719e1097c47611d3898568c546d597c2e74d66f6087edd5233ff4"
+checksum = "4ec2a862134d2a7d32d7983ddcdd1c4923530833c9f2ea1a44fc5fa473989058"
+
+[[package]]
+name = "libredox"
+version = "0.0.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "85c833ca1e66078851dba29046874e38f08b2c883700aa29a03ddd3b23814ee8"
+dependencies = [
+ "bitflags 2.4.1",
+ "libc",
+ "redox_syscall",
+]
 
 [[package]]
 name = "linux-raw-sys"
-version = "0.4.7"
+version = "0.4.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1a9bad9f94746442c783ca431b22403b519cd7fbeed0533fdd6328b2f2212128"
+checksum = "969488b55f8ac402214f3f5fd243ebb7206cf82de60d3172994707a4bcc2b829"
 
 [[package]]
 name = "lock_api"
-version = "0.4.10"
+version = "0.4.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c1cc9717a20b1bb222f333e6a92fd32f7d8a18ddc5a3191a11af45dcbf4dcd16"
+checksum = "3c168f8615b12bc01f9c17e2eb0cc07dcae1940121185446edc3744920e8ef45"
 dependencies = [
  "autocfg",
  "scopeguard",
@@ -1300,9 +1249,9 @@ dependencies = [
 
 [[package]]
 name = "macro_rules_attribute"
-version = "0.1.3"
+version = "0.2.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cf0c9b980bf4f3a37fd7b1c066941dd1b1d0152ce6ee6e8fe8c49b9f6810d862"
+checksum = "8a82271f7bc033d84bbca59a3ce3e4159938cb08a9c3aebbe54d215131518a13"
 dependencies = [
  "macro_rules_attribute-proc_macro",
  "paste",
@@ -1310,9 +1259,9 @@ dependencies = [
 
 [[package]]
 name = "macro_rules_attribute-proc_macro"
-version = "0.1.3"
+version = "0.2.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "58093314a45e00c77d5c508f76e77c3396afbbc0d01506e7fae47b018bac2b1d"
+checksum = "b8dd856d451cc0da70e2ef2ce95a18e39a93b7558bedf10201ad28503f918568"
 
 [[package]]
 name = "match_cfg"
@@ -1337,9 +1286,9 @@ checksum = "0e7465ac9959cc2b1404e8e2367b43684a6d13790fe23056cc8c6c5a6b7bcb94"
 
 [[package]]
 name = "memchr"
-version = "2.6.3"
+version = "2.6.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8f232d6ef707e1956a43342693d2a31e72989554d58299d7a88738cc95b0d35c"
+checksum = "f665ee40bc4a3c5590afb1e9677db74a508659dfd71e126420da8274909a0167"
 
 [[package]]
 name = "memoffset"
@@ -1367,7 +1316,7 @@ version = "0.12.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "8a4964177ddfdab1e3a2b37aec7cf320e14169abb0ed73999f558136409178d5"
 dependencies = [
- "base64 0.21.4",
+ "base64 0.21.5",
  "hyper",
  "indexmap 1.9.3",
  "ipnet",
@@ -1387,7 +1336,7 @@ checksum = "ddece26afd34c31585c74a4db0630c376df271c285d682d1e55012197830b6df"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -1438,9 +1387,9 @@ dependencies = [
 
 [[package]]
 name = "mio"
-version = "0.8.8"
+version = "0.8.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "927a765cd3fc26206e66b296465fa9d3e5ab003e651c1b3c060e7956d96b19d2"
+checksum = "3dce281c5e46beae905d4de1870d8b1509a9142b62eedf18b443b011ca8343d0"
 dependencies = [
  "libc",
  "log",
@@ -1450,9 +1399,9 @@ dependencies = [
 
 [[package]]
 name = "monostate"
-version = "0.1.9"
+version = "0.1.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "15f370ae88093ec6b11a710dec51321a61d420fafd1bad6e30d01bd9c920e8ee"
+checksum = "e404e13820ea0df0eda93aa294e0c80de76a0daa6bec590d376fbec6d7810394"
 dependencies = [
  "monostate-impl",
  "serde",
@@ -1460,13 +1409,13 @@ dependencies = [
 
 [[package]]
 name = "monostate-impl"
-version = "0.1.9"
+version = "0.1.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "371717c0a5543d6a800cac822eac735aa7d2d2fbb41002e9856a4089532dbdce"
+checksum = "531c82a934da419bed3da09bd87d6e98c72f8d4aa755427b3b009c2b8b8c433c"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -1549,7 +1498,7 @@ version = "0.27.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "2eb04e9c688eff1c89d72b407f168cf79bb9e867a9d3323ed6c01519eb9cc053"
 dependencies = [
- "bitflags 2.4.0",
+ "bitflags 2.4.1",
  "cfg-if",
  "libc",
 ]
@@ -1591,9 +1540,9 @@ dependencies = [
 
 [[package]]
 name = "num-traits"
-version = "0.2.16"
+version = "0.2.17"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f30b0abd723be7e2ffca1272140fac1a2f084c77ec3e123c192b66af1ee9e6c2"
+checksum = "39e3200413f237f41ab11ad6d161bc7239c84dcb631773ccd7de3dfe4b5c267c"
 dependencies = [
  "autocfg",
  "libm",
@@ -1618,12 +1567,6 @@ dependencies = [
  "libc",
 ]
 
-[[package]]
-name = "number_prefix"
-version = "0.3.0"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "17b02fc0ff9a9e4b35b3342880f48e896ebf69f2967921fe8646bf5b7125956a"
-
 [[package]]
 name = "number_prefix"
 version = "0.4.0"
@@ -1669,11 +1612,11 @@ dependencies = [
 
 [[package]]
 name = "openssl"
-version = "0.10.57"
+version = "0.10.60"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "bac25ee399abb46215765b1cb35bc0212377e58a061560d8b29b024fd0430e7c"
+checksum = "79a4c6c3a2b158f7f8f2a2fc5a969fa3a068df6fc9dbb4a43845436e3af7c800"
 dependencies = [
- "bitflags 2.4.0",
+ "bitflags 2.4.1",
  "cfg-if",
  "foreign-types",
  "libc",
@@ -1690,7 +1633,7 @@ checksum = "a948666b637a0f465e8564c73e89d4dde00d72d4d473cc972f390fc3dcee7d9c"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -1701,9 +1644,9 @@ checksum = "ff011a302c396a5197692431fc1948019154afc178baf7d8e37367442a4601cf"
 
 [[package]]
 name = "openssl-sys"
-version = "0.9.93"
+version = "0.9.96"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "db4d56a4c0478783083cfafcc42493dd4a981d41669da64b4572a2a089b51b1d"
+checksum = "3812c071ba60da8b5677cc12bcb1d42989a65553772897a7e0355545a819838f"
 dependencies = [
  "cc",
  "libc",
@@ -1820,9 +1763,9 @@ checksum = "04744f49eae99ab78e0d5c0b603ab218f515ea8cfe5a456d7629ad883a3b6e7d"
 
 [[package]]
 name = "ordered-float"
-version = "3.9.1"
+version = "3.9.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2a54938017eacd63036332b4ae5c8a49fc8c0c1d6d629893057e4f13609edd06"
+checksum = "f1e1c390732d15f1d48471625cd92d154e66db2c56645e29a9cd26f4699f72dc"
 dependencies = [
  "num-traits",
 ]
@@ -1856,13 +1799,13 @@ dependencies = [
 
 [[package]]
 name = "parking_lot_core"
-version = "0.9.8"
+version = "0.9.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "93f00c865fe7cabf650081affecd3871070f26767e7b2070a3ffae14c654b447"
+checksum = "4c42a9226546d68acdd9c0a280d17ce19bfe27a46bf68784e4066115788d008e"
 dependencies = [
  "cfg-if",
  "libc",
- "redox_syscall 0.3.5",
+ "redox_syscall",
  "smallvec",
  "windows-targets 0.48.5",
 ]
@@ -1875,9 +1818,9 @@ checksum = "de3145af08024dea9fa9914f381a17b8fc6034dfb00f3a84013f7ff43f29ed4c"
 
 [[package]]
 name = "percent-encoding"
-version = "2.3.0"
+version = "2.3.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9b2a4787296e9989611394c33f193f676704af1686e70b8f8033ab5ba9a35a94"
+checksum = "e3148f5046208a5d56bcfc03053e3ca6334e51da8dfb19b6cdc8b306fae3283e"
 
 [[package]]
 name = "petgraph"
@@ -1886,7 +1829,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "e1d3afd2628e69da2be385eb6f2fd57c8ac7977ceeff6dc166ff1657b0e386a9"
 dependencies = [
  "fixedbitset",
- "indexmap 2.0.0",
+ "indexmap 2.1.0",
 ]
 
 [[package]]
@@ -1906,7 +1849,7 @@ checksum = "4359fd9c9171ec6e8c62926d6faaf553a8dc3f64e1507e76da7911b4f6a04405"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -1929,9 +1872,15 @@ checksum = "26072860ba924cbfa98ea39c8c19b4dd6a4a25423dbdf219c1eca91aa0cf6964"
 
 [[package]]
 name = "portable-atomic"
-version = "1.4.3"
+version = "1.5.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "31114a898e107c51bb1609ffaf55a0e011cf6a4d7f1170d0015a165082c0338b"
+checksum = "3bccab0e7fd7cc19f820a1c8c91720af652d0c88dc9664dd72aef2614f04af3b"
+
+[[package]]
+name = "powerfmt"
+version = "0.2.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "439ee305def115ba05938db6eb1644ff94165c5ab5e9420d1c1bcedbba909391"
 
 [[package]]
 name = "ppv-lite86"
@@ -1946,7 +1895,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "ae005bd773ab59b4725093fd7df83fd7892f7d8eafb48dbd7de6e024e4215f9d"
 dependencies = [
  "proc-macro2",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -1975,9 +1924,9 @@ dependencies = [
 
 [[package]]
 name = "proc-macro2"
-version = "1.0.67"
+version = "1.0.70"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3d433d9f1a3e8c1263d9456598b16fec66f4acc9a74dacffd35c7bb09b3a1328"
+checksum = "39278fbbf5fb4f646ce651690877f89d1c5811a3d4acb27700c1cb3cdb78fd3b"
 dependencies = [
  "unicode-ident",
 ]
@@ -1994,19 +1943,19 @@ dependencies = [
 
 [[package]]
 name = "prost"
-version = "0.12.1"
+version = "0.12.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f4fdd22f3b9c31b53c060df4a0613a1c7f062d4115a2b984dd15b1858f7e340d"
+checksum = "146c289cda302b98a28d40c8b3b90498d6e526dd24ac2ecea73e4e491685b94a"
 dependencies = [
  "bytes",
- "prost-derive 0.12.1",
+ "prost-derive 0.12.3",
 ]
 
 [[package]]
 name = "prost-build"
-version = "0.12.1"
+version = "0.12.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8bdf592881d821b83d471f8af290226c8d51402259e9bb5be7f9f8bdebbb11ac"
+checksum = "c55e02e35260070b6f716a2423c2ff1c3bb1642ddca6f99e1f26d06268a0e2d2"
 dependencies = [
  "bytes",
  "heck",
@@ -2016,10 +1965,10 @@ dependencies = [
  "once_cell",
  "petgraph",
  "prettyplease",
- "prost 0.12.1",
+ "prost 0.12.3",
  "prost-types",
  "regex",
- "syn 2.0.37",
+ "syn 2.0.39",
  "tempfile",
  "which",
 ]
@@ -2039,24 +1988,24 @@ dependencies = [
 
 [[package]]
 name = "prost-derive"
-version = "0.12.1"
+version = "0.12.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "265baba7fabd416cf5078179f7d2cbeca4ce7a9041111900675ea7c4cb8a4c32"
+checksum = "efb6c9a1dd1def8e2124d17e83a20af56f1570d6c2d2bd9e266ccb768df3840e"
 dependencies = [
  "anyhow",
  "itertools 0.11.0",
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
 name = "prost-types"
-version = "0.12.1"
+version = "0.12.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "e081b29f63d83a4bc75cfc9f3fe424f9156cf92d8a4f0c9407cce9a1b67327cf"
+checksum = "193898f59edcf43c26227dcd4c8427f00d99d61e95dcde58dabd49fa291d470e"
 dependencies = [
- "prost 0.12.1",
+ "prost 0.12.3",
 ]
 
 [[package]]
@@ -2120,7 +2069,7 @@ version = "0.23.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "2e2e4cd95294a85c3b4446e63ef054eea43e0205b1fd60120c16b74ff7ff96ad"
 dependencies = [
- "bitflags 2.4.0",
+ "bitflags 2.4.1",
  "cassowary",
  "crossterm",
  "indoc",
@@ -2152,12 +2101,12 @@ dependencies = [
 
 [[package]]
 name = "rayon-cond"
-version = "0.1.0"
+version = "0.3.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fd1259362c9065e5ea39a789ef40b1e3fd934c94beb7b5ab3ac6629d3b5e7cb7"
+checksum = "059f538b55efd2309c9794130bc149c6a553db90e9d99c2030785c82f0bd7df9"
 dependencies = [
  "either",
- "itertools 0.8.2",
+ "itertools 0.11.0",
  "rayon",
 ]
 
@@ -2173,43 +2122,34 @@ dependencies = [
 
 [[package]]
 name = "redox_syscall"
-version = "0.2.16"
+version = "0.4.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "fb5a58c1855b4b6819d59012155603f0b22ad30cad752600aadfcb695265519a"
-dependencies = [
- "bitflags 1.3.2",
-]
-
-[[package]]
-name = "redox_syscall"
-version = "0.3.5"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "567664f262709473930a4bf9e51bf2ebf3348f2e748ccc50dea20646858f8f29"
+checksum = "4722d768eff46b75989dd134e5c353f0d6296e5aaa3132e776cbdb56be7731aa"
 dependencies = [
  "bitflags 1.3.2",
 ]
 
 [[package]]
 name = "redox_users"
-version = "0.4.3"
+version = "0.4.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b033d837a7cf162d7993aded9304e30a83213c648b6e389db233191f891e5c2b"
+checksum = "a18479200779601e498ada4e8c1e1f50e3ee19deb0259c25825a98b5603b2cb4"
 dependencies = [
  "getrandom",
- "redox_syscall 0.2.16",
+ "libredox",
  "thiserror",
 ]
 
 [[package]]
 name = "regex"
-version = "1.9.5"
+version = "1.10.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "697061221ea1b4a94a624f67d0ae2bfe4e22b8a17b6a192afb11046542cc8c47"
+checksum = "380b951a9c5e80ddfd6136919eef32310721aa4aacd4889a8d39124b026ab343"
 dependencies = [
- "aho-corasick 1.1.1",
+ "aho-corasick",
  "memchr",
- "regex-automata 0.3.8",
- "regex-syntax 0.7.5",
+ "regex-automata 0.4.3",
+ "regex-syntax 0.8.2",
 ]
 
 [[package]]
@@ -2223,13 +2163,13 @@ dependencies = [
 
 [[package]]
 name = "regex-automata"
-version = "0.3.8"
+version = "0.4.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c2f401f4955220693b56f8ec66ee9c78abffd8d1c4f23dc41a23839eb88f0795"
+checksum = "5f804c7828047e88b2d32e2d7fe5a105da8ee3264f01902f796c8e067dc2483f"
 dependencies = [
- "aho-corasick 1.1.1",
+ "aho-corasick",
  "memchr",
- "regex-syntax 0.7.5",
+ "regex-syntax 0.8.2",
 ]
 
 [[package]]
@@ -2245,12 +2185,18 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "dbb5fb1acd8a1a18b3dd5be62d25485eb770e05afb408a9627d14d451bae12da"
 
 [[package]]
-name = "reqwest"
-version = "0.11.20"
+name = "regex-syntax"
+version = "0.8.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3e9ad3fe7488d7e34558a2033d45a0c90b72d97b4f80705666fea71472e2e6a1"
+checksum = "c08c74e62047bb2de4ff487b251e4a92e24f48745648451635cec7d591162d9f"
+
+[[package]]
+name = "reqwest"
+version = "0.11.22"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "046cd98826c46c2ac8ddecae268eb5c2e58628688a5fc7a2643704a73faba95b"
 dependencies = [
- "base64 0.21.4",
+ "base64 0.21.5",
  "bytes",
  "encoding_rs",
  "futures-core",
@@ -2271,6 +2217,7 @@ dependencies = [
  "serde",
  "serde_json",
  "serde_urlencoded",
+ "system-configuration",
  "tokio",
  "tokio-native-tls",
  "tower-service",
@@ -2290,12 +2237,26 @@ dependencies = [
  "cc",
  "libc",
  "once_cell",
- "spin",
- "untrusted",
+ "spin 0.5.2",
+ "untrusted 0.7.1",
  "web-sys",
  "winapi",
 ]
 
+[[package]]
+name = "ring"
+version = "0.17.6"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "684d5e6e18f669ccebf64a92236bb7db9a34f07be010e3627368182027180866"
+dependencies = [
+ "cc",
+ "getrandom",
+ "libc",
+ "spin 0.9.8",
+ "untrusted 0.9.0",
+ "windows-sys 0.48.0",
+]
+
 [[package]]
 name = "rust-embed"
 version = "6.8.1"
@@ -2317,7 +2278,7 @@ dependencies = [
  "quote",
  "rust-embed-utils",
  "shellexpand",
- "syn 2.0.37",
+ "syn 2.0.39",
  "walkdir",
 ]
 
@@ -2348,11 +2309,11 @@ dependencies = [
 
 [[package]]
 name = "rustix"
-version = "0.38.14"
+version = "0.38.25"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "747c788e9ce8e92b12cd485c49ddf90723550b654b32508f979b71a7b1ecda4f"
+checksum = "dc99bc2d4f1fed22595588a013687477aedf3cdcfb26558c559edb67b4d9b22e"
 dependencies = [
- "bitflags 2.4.0",
+ "bitflags 2.4.1",
  "errno",
  "libc",
  "linux-raw-sys",
@@ -2366,50 +2327,40 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "1b80e3dec595989ea8510028f30c408a4630db12c9cbb8de34203b89d6577e99"
 dependencies = [
  "log",
- "ring",
+ "ring 0.16.20",
  "sct",
  "webpki",
 ]
 
 [[package]]
 name = "rustls"
-version = "0.21.7"
+version = "0.21.9"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cd8d6c9f025a446bc4d18ad9632e69aec8f287aa84499ee335599fabd20c3fd8"
+checksum = "629648aced5775d558af50b2b4c7b02983a04b312126d45eeead26e7caa498b9"
 dependencies = [
  "log",
- "ring",
- "rustls-webpki 0.101.6",
+ "ring 0.17.6",
+ "rustls-webpki",
  "sct",
 ]
 
 [[package]]
 name = "rustls-pemfile"
-version = "1.0.3"
+version = "1.0.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "2d3987094b1d07b653b7dfdc3f70ce9a1da9c51ac18c1b06b662e4f9a0e9f4b2"
+checksum = "1c74cae0a4cf6ccbbf5f359f08efdf8ee7e1dc532573bf0db71968cb56b1448c"
 dependencies = [
- "base64 0.21.4",
+ "base64 0.21.5",
 ]
 
 [[package]]
 name = "rustls-webpki"
-version = "0.100.3"
+version = "0.101.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5f6a5fc258f1c1276dfe3016516945546e2d5383911efc0fc4f1cdc5df3a4ae3"
+checksum = "8b6275d1ee7a1cd780b64aca7726599a1dbc893b1e64144529e55c3c2f745765"
 dependencies = [
- "ring",
- "untrusted",
-]
-
-[[package]]
-name = "rustls-webpki"
-version = "0.101.6"
-source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "3c7d5dece342910d9ba34d259310cae3e0154b873b35408b787b59bce53d34fe"
-dependencies = [
- "ring",
- "untrusted",
+ "ring 0.17.6",
+ "untrusted 0.9.0",
 ]
 
 [[package]]
@@ -2450,12 +2401,12 @@ checksum = "94143f37725109f92c262ed2cf5e59bce7498c01bcc1502d7b9afe439a4e9f49"
 
 [[package]]
 name = "sct"
-version = "0.7.0"
+version = "0.7.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "d53dcdb7c9f8158937a7981b48accfd39a43af418591a5d008c7b22b5e1b7ca4"
+checksum = "da046153aa2352493d6cb7da4b6e5c0c057d8a1d0a9aa8560baffdd945acd414"
 dependencies = [
- "ring",
- "untrusted",
+ "ring 0.17.6",
+ "untrusted 0.9.0",
 ]
 
 [[package]]
@@ -2483,35 +2434,35 @@ dependencies = [
 
 [[package]]
 name = "semver"
-version = "1.0.19"
+version = "1.0.20"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ad977052201c6de01a8ef2aa3378c4bd23217a056337d1d6da40468d267a4fb0"
+checksum = "836fa6a3e1e547f9a2c4040802ec865b5d85f4014efe00555d7090a3dcaa1090"
 
 [[package]]
 name = "serde"
-version = "1.0.188"
+version = "1.0.193"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cf9e0fcba69a370eed61bcf2b728575f726b50b55cba78064753d708ddc7549e"
+checksum = "25dd9975e68d0cb5aa1120c288333fc98731bd1dd12f561e468ea4728c042b89"
 dependencies = [
  "serde_derive",
 ]
 
 [[package]]
 name = "serde_derive"
-version = "1.0.188"
+version = "1.0.193"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4eca7ac642d82aa35b60049a6eccb4be6be75e599bd2e9adb5f875a737654af2"
+checksum = "43576ca501357b9b071ac53cdc7da8ef0cbd9493d8df094cd821777ea6e894d3"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
 name = "serde_json"
-version = "1.0.107"
+version = "1.0.108"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "6b420ce6e3d8bd882e9b243c6eed35dbc9a6110c9769e74b584e0d68d1f20c65"
+checksum = "3d1c7e3eac408d115102c4c24ad393e0821bb3a5df4d506a80f85f7a742a526b"
 dependencies = [
  "itoa",
  "ryu",
@@ -2553,9 +2504,9 @@ dependencies = [
 
 [[package]]
 name = "sharded-slab"
-version = "0.1.4"
+version = "0.1.7"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "900fba806f70c630b0a382d0d825e17a0f19fcd059a2ade1ff237bcddf446b31"
+checksum = "f40ca3c46823713e0d4209592e8d6e826aa57e928f09752619fc696c499637f6"
 dependencies = [
  "lazy_static",
 ]
@@ -2625,15 +2576,15 @@ dependencies = [
 
 [[package]]
 name = "smallvec"
-version = "1.11.1"
+version = "1.11.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "942b4a808e05215192e39f4ab80813e599068285906cc91aa64f923db842bd5a"
+checksum = "4dccd0940a2dcdf68d092b8cbab7dc0ad8fa938bf95787e1b916b0e3d0e8e970"
 
 [[package]]
 name = "socket2"
-version = "0.4.9"
+version = "0.4.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "64a4a911eed85daf18834cfaa86a79b7d266ff93ff5ba14005426219480ed662"
+checksum = "9f7916fc008ca5542385b89a3d3ce689953c143e9304a9bf8beec1de48994c0d"
 dependencies = [
  "libc",
  "winapi",
@@ -2641,9 +2592,9 @@ dependencies = [
 
 [[package]]
 name = "socket2"
-version = "0.5.4"
+version = "0.5.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "4031e820eb552adee9295814c0ced9e5cf38ddf1e8b7d566d6de8e2538ea989e"
+checksum = "7b5fac59a5cb5dd637972e5fca70daf0523c9067fcdc4842f053dae04a18f8e9"
 dependencies = [
  "libc",
  "windows-sys 0.48.0",
@@ -2655,6 +2606,12 @@ version = "0.5.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "6e63cff320ae2c57904679ba7cb63280a3dc4613885beafb148ee7bf9aa9042d"
 
+[[package]]
+name = "spin"
+version = "0.9.8"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "6980e8d7511241f8acf4aebddbb1ff938df5eebe98691418c4468d0b72a96a67"
+
 [[package]]
 name = "spm_precompiled"
 version = "0.1.4"
@@ -2684,15 +2641,15 @@ dependencies = [
 
 [[package]]
 name = "strum_macros"
-version = "0.25.2"
+version = "0.25.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ad8d03b598d3d0fff69bf533ee3ef19b8eeb342729596df84bcc7e1f96ec4059"
+checksum = "23dc1fa9ac9c169a78ba62f0b841814b7abae11bdd047b9c58f893439e309ea0"
 dependencies = [
  "heck",
  "proc-macro2",
  "quote",
  "rustversion",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -2708,9 +2665,9 @@ dependencies = [
 
 [[package]]
 name = "syn"
-version = "2.0.37"
+version = "2.0.39"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7303ef2c05cd654186cb250d29049a24840ca25d2747c25c0381c8d9e2f582e8"
+checksum = "23e78b90f2fcf45d3e842032ce32e3f2d1545ba6636271dcbf24fa306d87be7a"
 dependencies = [
  "proc-macro2",
  "quote",
@@ -2725,9 +2682,9 @@ checksum = "2047c6ded9c721764247e62cd3b03c09ffc529b2ba5b10ec482ae507a4a70160"
 
 [[package]]
 name = "sysinfo"
-version = "0.29.10"
+version = "0.29.11"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0a18d114d420ada3a891e6bc8e96a2023402203296a47cdd65083377dad18ba5"
+checksum = "cd727fc423c2060f6c92d9534cef765c65a6ed3f428a03d7def74a8c4348e666"
 dependencies = [
  "cfg-if",
  "core-foundation-sys",
@@ -2737,6 +2694,27 @@ dependencies = [
  "winapi",
 ]
 
+[[package]]
+name = "system-configuration"
+version = "0.5.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ba3a3adc5c275d719af8cb4272ea1c4a6d668a777f37e115f6d11ddbc1c8e0e7"
+dependencies = [
+ "bitflags 1.3.2",
+ "core-foundation",
+ "system-configuration-sys",
+]
+
+[[package]]
+name = "system-configuration-sys"
+version = "0.5.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a75fb188eb626b924683e3b95e3a48e63551fcfb51949de2f06a9d91dbee93c9"
+dependencies = [
+ "core-foundation-sys",
+ "libc",
+]
+
 [[package]]
 name = "tabled"
 version = "0.14.0"
@@ -2763,26 +2741,26 @@ dependencies = [
 
 [[package]]
 name = "tempfile"
-version = "3.8.0"
+version = "3.8.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "cb94d2f3cc536af71caac6b6fcebf65860b347e7ce0cc9ebe8f70d3e521054ef"
+checksum = "7ef1adac450ad7f4b3c28589471ade84f25f731a7a0fe30d71dfa9f60fd808e5"
 dependencies = [
  "cfg-if",
  "fastrand",
- "redox_syscall 0.3.5",
+ "redox_syscall",
  "rustix",
  "windows-sys 0.48.0",
 ]
 
 [[package]]
 name = "text-generation-benchmark"
-version = "1.1.1"
+version = "1.2.0"
 dependencies = [
  "average",
  "clap",
  "crossterm",
  "float-ord",
- "hf-hub 0.3.1",
+ "hf-hub",
  "ratatui",
  "serde",
  "serde_json",
@@ -2797,15 +2775,15 @@ dependencies = [
 
 [[package]]
 name = "text-generation-client"
-version = "1.1.1"
+version = "1.2.0"
 dependencies = [
  "futures",
  "grpc-metadata",
- "prost 0.12.1",
+ "prost 0.12.3",
  "prost-build",
  "thiserror",
  "tokio",
- "tonic 0.10.1",
+ "tonic 0.10.2",
  "tonic-build",
  "tower",
  "tracing",
@@ -2813,7 +2791,7 @@ dependencies = [
 
 [[package]]
 name = "text-generation-launcher"
-version = "1.1.1"
+version = "1.2.0"
 dependencies = [
  "clap",
  "ctrlc",
@@ -2829,14 +2807,14 @@ dependencies = [
 
 [[package]]
 name = "text-generation-router"
-version = "1.1.1"
+version = "1.2.0"
 dependencies = [
  "async-stream",
  "axum",
  "axum-tracing-opentelemetry",
  "clap",
  "futures",
- "hf-hub 0.3.1",
+ "hf-hub",
  "init-tracing-opentelemetry",
  "metrics",
  "metrics-exporter-prometheus",
@@ -2864,22 +2842,22 @@ dependencies = [
 
 [[package]]
 name = "thiserror"
-version = "1.0.49"
+version = "1.0.50"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1177e8c6d7ede7afde3585fd2513e611227efd6481bd78d2e82ba1ce16557ed4"
+checksum = "f9a7210f5c9a7156bb50aa36aed4c95afb51df0df00713949448cf9e97d382d2"
 dependencies = [
  "thiserror-impl",
 ]
 
 [[package]]
 name = "thiserror-impl"
-version = "1.0.49"
+version = "1.0.50"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "10712f02019e9288794769fba95cd6847df9874d49d871d062172f9dd41bc4cc"
+checksum = "266b2e40bc00e5a6c09c3584011e08b06f123c00362c92b975ba9843aaaa14b8"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -2894,14 +2872,15 @@ dependencies = [
 
 [[package]]
 name = "time"
-version = "0.3.29"
+version = "0.3.30"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "426f806f4089c493dcac0d24c29c01e2c38baf8e30f1b716ee37e83d200b18fe"
+checksum = "c4a34ab300f2dee6e562c10a046fc05e358b29f9bf92277f30c3c8d82275f6f5"
 dependencies = [
  "deranged",
  "itoa",
  "libc",
  "num_threads",
+ "powerfmt",
  "serde",
  "time-core",
  "time-macros",
@@ -2939,18 +2918,18 @@ checksum = "1f3ccbac311fea05f86f61904b462b55fb3df8837a366dfc601a0161d0532f20"
 
 [[package]]
 name = "tokenizers"
-version = "0.14.0"
+version = "0.14.1"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "12b515a66453a4d68f03398054f7204fd0dde6b93d3f20ea90b08025ab49b499"
+checksum = "d9be88c795d8b9f9c4002b3a8f26a6d0876103a6f523b32ea3bac52d8560c17c"
 dependencies = [
- "aho-corasick 0.7.20",
+ "aho-corasick",
  "clap",
  "derive_builder",
  "esaxx-rs",
  "getrandom",
- "hf-hub 0.2.0",
- "indicatif 0.15.0",
- "itertools 0.9.0",
+ "hf-hub",
+ "indicatif",
+ "itertools 0.11.0",
  "lazy_static",
  "log",
  "macro_rules_attribute",
@@ -2973,9 +2952,9 @@ dependencies = [
 
 [[package]]
 name = "tokio"
-version = "1.32.0"
+version = "1.34.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "17ed6077ed6cd6c74735e21f37eb16dc3935f96878b1fe961074089cc80893f9"
+checksum = "d0c014766411e834f7af5b8f4cf46257aab4036ca95e9d2c144a10f59ad6f5b9"
 dependencies = [
  "backtrace",
  "bytes",
@@ -2985,7 +2964,7 @@ dependencies = [
  "parking_lot",
  "pin-project-lite",
  "signal-hook-registry",
- "socket2 0.5.4",
+ "socket2 0.5.5",
  "tokio-macros",
  "windows-sys 0.48.0",
 ]
@@ -3002,13 +2981,13 @@ dependencies = [
 
 [[package]]
 name = "tokio-macros"
-version = "2.1.0"
+version = "2.2.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "630bdcf245f78637c13ec01ffae6187cca34625e8c63150d424b59e55af2675e"
+checksum = "5b8a1e28f2deaa14e508979454cb3a223b10b938b45af148bc0986de36f1923b"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -3045,9 +3024,9 @@ dependencies = [
 
 [[package]]
 name = "tokio-util"
-version = "0.7.9"
+version = "0.7.10"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "1d68074620f57a0b21594d9735eb2e98ab38b17f80d3fcb189fca266771ca60d"
+checksum = "5419f34732d9eb6ee4c3578b7989078579b7f039cbbb9ca2c4da015749371e15"
 dependencies = [
  "bytes",
  "futures-core",
@@ -3066,7 +3045,7 @@ checksum = "3082666a3a6433f7f511c7192923fa1fe07c69332d3c6a2e6bb040b569199d5a"
 dependencies = [
  "async-trait",
  "axum",
- "base64 0.21.4",
+ "base64 0.21.5",
  "bytes",
  "futures-core",
  "futures-util",
@@ -3088,14 +3067,14 @@ dependencies = [
 
 [[package]]
 name = "tonic"
-version = "0.10.1"
+version = "0.10.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "14c00bc15e49625f3d2f20b17082601e5e17cf27ead69e805174026c194b6664"
+checksum = "d560933a0de61cf715926b9cac824d4c883c2c43142f787595e48280c40a1d0e"
 dependencies = [
  "async-stream",
  "async-trait",
  "axum",
- "base64 0.21.4",
+ "base64 0.21.5",
  "bytes",
  "h2",
  "http",
@@ -3104,7 +3083,7 @@ dependencies = [
  "hyper-timeout",
  "percent-encoding",
  "pin-project",
- "prost 0.12.1",
+ "prost 0.12.3",
  "tokio",
  "tokio-stream",
  "tower",
@@ -3115,15 +3094,15 @@ dependencies = [
 
 [[package]]
 name = "tonic-build"
-version = "0.10.1"
+version = "0.10.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c9d37bb15da06ae9bb945963066baca6561b505af93a52e949a85d28558459a2"
+checksum = "9d021fc044c18582b9a2408cd0dd05b1596e3ecdb5c4df822bb0183545683889"
 dependencies = [
  "prettyplease",
  "proc-macro2",
  "prost-build",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -3152,7 +3131,7 @@ version = "0.4.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "61c5bb1d698276a2443e5ecfabc1008bf15a36c12e6a7176e7bf089ea9131140"
 dependencies = [
- "bitflags 2.4.0",
+ "bitflags 2.4.1",
  "bytes",
  "futures-core",
  "futures-util",
@@ -3178,11 +3157,10 @@ checksum = "b6bc1c9ce2b5135ac7f93c72918fc37feb872bdc6a5533a8b85eb4b86bfdae52"
 
 [[package]]
 name = "tracing"
-version = "0.1.37"
+version = "0.1.40"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "8ce8c33a8d48bd45d624a6e523445fd21ec13d3653cd51f681abf67418f54eb8"
+checksum = "c3523ab5a71916ccf420eebdf5521fcef02141234bbc0b8a49f2fdc4544364ef"
 dependencies = [
- "cfg-if",
  "log",
  "pin-project-lite",
  "tracing-attributes",
@@ -3191,20 +3169,20 @@ dependencies = [
 
 [[package]]
 name = "tracing-attributes"
-version = "0.1.26"
+version = "0.1.27"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5f4f31f56159e98206da9efd823404b79b6ef3143b4a7ab76e67b1751b25a4ab"
+checksum = "34704c8d6ebcbc939824180af020566b01a7c01f80641264eba0999f6c2b6be7"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
 name = "tracing-core"
-version = "0.1.31"
+version = "0.1.32"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0955b8137a1df6f1a2e9a37d8a6656291ff0297c1a97c24e0d8425fe2312f79a"
+checksum = "c06d3da6113f116aaee68e4d601191614c9053067f9ab7f6edbcb161237daa54"
 dependencies = [
  "once_cell",
  "valuable",
@@ -3212,12 +3190,23 @@ dependencies = [
 
 [[package]]
 name = "tracing-log"
-version = "0.1.3"
+version = "0.1.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "78ddad33d2d10b1ed7eb9d1f518a5674713876e97e5bb9b7345a7984fbb4f922"
+checksum = "f751112709b4e791d8ce53e32c4ed2d353565a795ce84da2285393f41557bdf2"
 dependencies = [
- "lazy_static",
  "log",
+ "once_cell",
+ "tracing-core",
+]
+
+[[package]]
+name = "tracing-log"
+version = "0.2.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ee855f1f400bd0e5c02d150ae5de3840039a3f54b025156404e34c23c03f47c3"
+dependencies = [
+ "log",
+ "once_cell",
  "tracing-core",
 ]
 
@@ -3233,15 +3222,15 @@ dependencies = [
  "smallvec",
  "tracing",
  "tracing-core",
- "tracing-log",
+ "tracing-log 0.1.4",
  "tracing-subscriber",
 ]
 
 [[package]]
 name = "tracing-opentelemetry-instrumentation-sdk"
-version = "0.14.1"
+version = "0.14.2"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "752ddd669b14a08036a89045e4ac4497ff7ce254e11386647751f36d7c7849ea"
+checksum = "f523eba1b52bb854b804d43a039aafeaee5a623015065adbfef8016825319c15"
 dependencies = [
  "http",
  "opentelemetry-http",
@@ -3262,9 +3251,9 @@ dependencies = [
 
 [[package]]
 name = "tracing-subscriber"
-version = "0.3.17"
+version = "0.3.18"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "30a651bc37f915e81f087d86e62a18eec5f79550c7faff886f7090b4ea757c77"
+checksum = "ad0f048c97dbd9faa9b7df56362b8ebcaa52adb06b498c050d2f4e32f90a7a8b"
 dependencies = [
  "matchers",
  "nu-ansi-term",
@@ -3277,7 +3266,7 @@ dependencies = [
  "thread_local",
  "tracing",
  "tracing-core",
- "tracing-log",
+ "tracing-log 0.2.0",
  "tracing-serde",
 ]
 
@@ -3357,18 +3346,24 @@ source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "a156c684c91ea7d62626509bce3cb4e1d9ed5c4d978f7b4352658f96a4c26b4a"
 
 [[package]]
-name = "ureq"
-version = "2.7.1"
+name = "untrusted"
+version = "0.9.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "0b11c96ac7ee530603dcdf68ed1557050f374ce55a5a07193ebf8cbc9f8927e9"
+checksum = "8ecb6da28b8a351d773b68d5825ac39017e680750f980f3a1a85cd8dd28a47c1"
+
+[[package]]
+name = "ureq"
+version = "2.9.1"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "f8cdd25c339e200129fe4de81451814e5228c9b771d57378817d6117cc2b3f97"
 dependencies = [
- "base64 0.21.4",
+ "base64 0.21.5",
  "flate2",
  "log",
  "native-tls",
  "once_cell",
- "rustls 0.21.7",
- "rustls-webpki 0.100.3",
+ "rustls 0.21.9",
+ "rustls-webpki",
  "serde",
  "serde_json",
  "url",
@@ -3377,9 +3372,9 @@ dependencies = [
 
 [[package]]
 name = "url"
-version = "2.4.1"
+version = "2.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "143b538f18257fac9cad154828a57c6bf5157e1aa604d4816b5995bf6de87ae5"
+checksum = "31e6302e3bb753d46e83516cae55ae196fc0c309407cf11ab35cc51a4c2a4633"
 dependencies = [
  "form_urlencoded",
  "idna",
@@ -3404,7 +3399,7 @@ version = "3.5.0"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "d82b1bc5417102a73e8464c686eef947bdfb99fcdfc0a4f228e81afa9526470a"
 dependencies = [
- "indexmap 2.0.0",
+ "indexmap 2.1.0",
  "serde",
  "serde_json",
  "utoipa-gen",
@@ -3420,7 +3415,7 @@ dependencies = [
  "proc-macro2",
  "quote",
  "regex",
- "syn 2.0.37",
+ "syn 2.0.39",
 ]
 
 [[package]]
@@ -3453,9 +3448,9 @@ checksum = "accd4ea62f7bb7a82fe23066fb0957d48ef677f6eeb8215f372f52e48bb32426"
 
 [[package]]
 name = "vergen"
-version = "8.2.5"
+version = "8.2.6"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "85e7dc29b3c54a2ea67ef4f953d5ec0c4085035c0ae2d325be1c0d2144bd9f16"
+checksum = "1290fd64cc4e7d3c9b07d7f333ce0ce0007253e32870e632624835cc80b83939"
 dependencies = [
  "anyhow",
  "rustc_version",
@@ -3497,9 +3492,9 @@ checksum = "9c8d87e72b64a3b4db28d11ce29237c246188f4f51057d65a7eab63b7987e423"
 
 [[package]]
 name = "wasm-bindgen"
-version = "0.2.87"
+version = "0.2.89"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "7706a72ab36d8cb1f80ffbf0e071533974a60d0a308d01a5d0375bf60499a342"
+checksum = "0ed0d4f68a3015cc185aff4db9506a015f4b96f95303897bfa23f846db54064e"
 dependencies = [
  "cfg-if",
  "wasm-bindgen-macro",
@@ -3507,24 +3502,24 @@ dependencies = [
 
 [[package]]
 name = "wasm-bindgen-backend"
-version = "0.2.87"
+version = "0.2.89"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "5ef2b6d3c510e9625e5fe6f509ab07d66a760f0885d858736483c32ed7809abd"
+checksum = "1b56f625e64f3a1084ded111c4d5f477df9f8c92df113852fa5a374dbda78826"
 dependencies = [
  "bumpalo",
  "log",
  "once_cell",
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
  "wasm-bindgen-shared",
 ]
 
 [[package]]
 name = "wasm-bindgen-futures"
-version = "0.4.37"
+version = "0.4.39"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "c02dbc21516f9f1f04f187958890d7e6026df8d16540b7ad9492bc34a67cea03"
+checksum = "ac36a15a220124ac510204aec1c3e5db8a22ab06fd6706d881dc6149f8ed9a12"
 dependencies = [
  "cfg-if",
  "js-sys",
@@ -3534,9 +3529,9 @@ dependencies = [
 
 [[package]]
 name = "wasm-bindgen-macro"
-version = "0.2.87"
+version = "0.2.89"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "dee495e55982a3bd48105a7b947fd2a9b4a8ae3010041b9e0faab3f9cd028f1d"
+checksum = "0162dbf37223cd2afce98f3d0785506dcb8d266223983e4b5b525859e6e182b2"
 dependencies = [
  "quote",
  "wasm-bindgen-macro-support",
@@ -3544,28 +3539,28 @@ dependencies = [
 
 [[package]]
 name = "wasm-bindgen-macro-support"
-version = "0.2.87"
+version = "0.2.89"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "54681b18a46765f095758388f2d0cf16eb8d4169b639ab575a8f5693af210c7b"
+checksum = "f0eb82fcb7930ae6219a7ecfd55b217f5f0893484b7a13022ebb2b2bf20b5283"
 dependencies = [
  "proc-macro2",
  "quote",
- "syn 2.0.37",
+ "syn 2.0.39",
  "wasm-bindgen-backend",
  "wasm-bindgen-shared",
 ]
 
 [[package]]
 name = "wasm-bindgen-shared"
-version = "0.2.87"
+version = "0.2.89"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "ca6ad05a4870b2bf5fe995117d3728437bd27d7cd5f06f13c17443ef369775a1"
+checksum = "7ab9b36309365056cd639da3134bf87fa8f3d86008abf99e612384a6eecd459f"
 
 [[package]]
 name = "web-sys"
-version = "0.3.64"
+version = "0.3.66"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "9b85cbef8c220a6abc02aefd892dfc0fc23afb1c6a426316ec33253a3877249b"
+checksum = "50c24a44ec86bb68fbecd1b3efed7e85ea5621b39b35ef2766b66cd984f8010f"
 dependencies = [
  "js-sys",
  "wasm-bindgen",
@@ -3573,22 +3568,19 @@ dependencies = [
 
 [[package]]
 name = "webpki"
-version = "0.22.1"
+version = "0.22.4"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "f0e74f82d49d545ad128049b7e88f6576df2da6b02e9ce565c6f533be576957e"
+checksum = "ed63aea5ce73d0ff405984102c42de94fc55a6b75765d621c65262469b3c9b53"
 dependencies = [
- "ring",
- "untrusted",
+ "ring 0.17.6",
+ "untrusted 0.9.0",
 ]
 
 [[package]]
 name = "webpki-roots"
-version = "0.23.1"
+version = "0.25.3"
 source = "registry+https://github.com/rust-lang/crates.io-index"
-checksum = "b03058f88386e5ff5310d9111d53f48b17d732b401aeb83a8d5190f2ac459338"
-dependencies = [
- "rustls-webpki 0.100.3",
-]
+checksum = "1778a42e8b3b90bff8d0f5032bf22250792889a5cdc752aa0020c84abe3aaf10"
 
 [[package]]
 name = "which"
@@ -3651,6 +3643,15 @@ dependencies = [
  "windows-targets 0.48.5",
 ]
 
+[[package]]
+name = "windows-sys"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "282be5f36a8ce781fad8c8ae18fa3f9beff57ec1b52cb3de0789201425d9a33d"
+dependencies = [
+ "windows-targets 0.52.0",
+]
+
 [[package]]
 name = "windows-targets"
 version = "0.42.2"
@@ -3681,6 +3682,21 @@ dependencies = [
  "windows_x86_64_msvc 0.48.5",
 ]
 
+[[package]]
+name = "windows-targets"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "8a18201040b24831fbb9e4eb208f8892e1f50a37feb53cc7ff887feb8f50e7cd"
+dependencies = [
+ "windows_aarch64_gnullvm 0.52.0",
+ "windows_aarch64_msvc 0.52.0",
+ "windows_i686_gnu 0.52.0",
+ "windows_i686_msvc 0.52.0",
+ "windows_x86_64_gnu 0.52.0",
+ "windows_x86_64_gnullvm 0.52.0",
+ "windows_x86_64_msvc 0.52.0",
+]
+
 [[package]]
 name = "windows_aarch64_gnullvm"
 version = "0.42.2"
@@ -3693,6 +3709,12 @@ version = "0.48.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "2b38e32f0abccf9987a4e3079dfb67dcd799fb61361e53e2882c3cbaf0d905d8"
 
+[[package]]
+name = "windows_aarch64_gnullvm"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "cb7764e35d4db8a7921e09562a0304bf2f93e0a51bfccee0bd0bb0b666b015ea"
+
 [[package]]
 name = "windows_aarch64_msvc"
 version = "0.42.2"
@@ -3705,6 +3727,12 @@ version = "0.48.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "dc35310971f3b2dbbf3f0690a219f40e2d9afcf64f9ab7cc1be722937c26b4bc"
 
+[[package]]
+name = "windows_aarch64_msvc"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "bbaa0368d4f1d2aaefc55b6fcfee13f41544ddf36801e793edbbfd7d7df075ef"
+
 [[package]]
 name = "windows_i686_gnu"
 version = "0.42.2"
@@ -3717,6 +3745,12 @@ version = "0.48.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "a75915e7def60c94dcef72200b9a8e58e5091744960da64ec734a6c6e9b3743e"
 
+[[package]]
+name = "windows_i686_gnu"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "a28637cb1fa3560a16915793afb20081aba2c92ee8af57b4d5f28e4b3e7df313"
+
 [[package]]
 name = "windows_i686_msvc"
 version = "0.42.2"
@@ -3729,6 +3763,12 @@ version = "0.48.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "8f55c233f70c4b27f66c523580f78f1004e8b5a8b659e05a4eb49d4166cca406"
 
+[[package]]
+name = "windows_i686_msvc"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "ffe5e8e31046ce6230cc7215707b816e339ff4d4d67c65dffa206fd0f7aa7b9a"
+
 [[package]]
 name = "windows_x86_64_gnu"
 version = "0.42.2"
@@ -3741,6 +3781,12 @@ version = "0.48.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "53d40abd2583d23e4718fddf1ebec84dbff8381c07cae67ff7768bbf19c6718e"
 
+[[package]]
+name = "windows_x86_64_gnu"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "3d6fa32db2bc4a2f5abeacf2b69f7992cd09dca97498da74a151a3132c26befd"
+
 [[package]]
 name = "windows_x86_64_gnullvm"
 version = "0.42.2"
@@ -3753,6 +3799,12 @@ version = "0.48.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "0b7b52767868a23d5bab768e390dc5f5c55825b6d30b86c844ff2dc7414044cc"
 
+[[package]]
+name = "windows_x86_64_gnullvm"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "1a657e1e9d3f514745a572a6846d3c7aa7dbe1658c056ed9c3344c4109a6949e"
+
 [[package]]
 name = "windows_x86_64_msvc"
 version = "0.42.2"
@@ -3765,6 +3817,12 @@ version = "0.48.5"
 source = "registry+https://github.com/rust-lang/crates.io-index"
 checksum = "ed94fce61571a4006852b7389a063ab983c02eb1bb37b47f8272ce92d06d9538"
 
+[[package]]
+name = "windows_x86_64_msvc"
+version = "0.52.0"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "dff9641d1cd4be8d1a070daf9e3773c5f67e78b4d9d42263020c057706765c04"
+
 [[package]]
 name = "winreg"
 version = "0.50.0"
@@ -3775,6 +3833,26 @@ dependencies = [
  "windows-sys 0.48.0",
 ]
 
+[[package]]
+name = "zerocopy"
+version = "0.7.26"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "e97e415490559a91254a2979b4829267a57d2fcd741a98eee8b722fb57289aa0"
+dependencies = [
+ "zerocopy-derive",
+]
+
+[[package]]
+name = "zerocopy-derive"
+version = "0.7.26"
+source = "registry+https://github.com/rust-lang/crates.io-index"
+checksum = "dd7e48ccf166952882ca8bd778a43502c64f33bf94c12ebe2a7f08e5a0f6689f"
+dependencies = [
+ "proc-macro2",
+ "quote",
+ "syn 2.0.39",
+]
+
 [[package]]
 name = "zip"
 version = "0.6.6"
diff --git a/Cargo.toml b/Cargo.toml
index 6b26bb0f1..f594e0c69 100644
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -8,7 +8,7 @@ members = [
 ]
 
 [workspace.package]
-version = "1.1.1"
+version = "1.2.0"
 edition = "2021"
 authors = ["Olivier Dehaene"]
 homepage = "https://github.com/huggingface/text-generation-inference"
diff --git a/Dockerfile_amd b/Dockerfile_amd
new file mode 100644
index 000000000..dd331a5df
--- /dev/null
+++ b/Dockerfile_amd
@@ -0,0 +1,153 @@
+# Rust builder
+FROM lukemathwalker/cargo-chef:latest-rust-1.71 AS chef
+WORKDIR /usr/src
+
+ARG CARGO_REGISTRIES_CRATES_IO_PROTOCOL=sparse
+
+FROM chef as planner
+COPY Cargo.toml Cargo.toml
+COPY rust-toolchain.toml rust-toolchain.toml
+COPY proto proto
+COPY benchmark benchmark
+COPY router router
+COPY launcher launcher
+RUN cargo chef prepare --recipe-path recipe.json
+
+FROM chef AS builder
+
+ARG GIT_SHA
+ARG DOCKER_LABEL
+
+RUN PROTOC_ZIP=protoc-21.12-linux-x86_64.zip && \
+    curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v21.12/$PROTOC_ZIP && \
+    unzip -o $PROTOC_ZIP -d /usr/local bin/protoc && \
+    unzip -o $PROTOC_ZIP -d /usr/local 'include/*' && \
+    rm -f $PROTOC_ZIP
+
+COPY --from=planner /usr/src/recipe.json recipe.json
+RUN cargo chef cook --release --recipe-path recipe.json
+
+COPY Cargo.toml Cargo.toml
+COPY rust-toolchain.toml rust-toolchain.toml
+COPY proto proto
+COPY benchmark benchmark
+COPY router router
+COPY launcher launcher
+RUN cargo build --release
+
+# Text Generation Inference base image for RoCm
+FROM rocm/dev-ubuntu-20.04:5.7 as base
+
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
+    build-essential \
+    ca-certificates \
+    ccache \
+    curl \
+    git \
+    make \
+    libssl-dev \
+    g++ \
+    # Needed to build VLLM & flash.
+    rocthrust-dev \
+    hipsparse-dev \
+    hipblas-dev && \
+    rm -rf /var/lib/apt/lists/*
+
+# Keep in sync with `server/pyproject.toml
+ARG MAMBA_VERSION=23.1.0-1
+ARG PYTORCH_VERSION='2.2.0.dev0'
+ARG ROCM_VERSION='5.7'
+ARG PYTHON_VERSION='3.10.10'
+# Automatically set by buildx
+ARG TARGETPLATFORM
+ENV PATH /opt/conda/bin:$PATH
+
+# TGI seem to require libssl.so.1.1 instead of libssl.so.3 so we can't use ubuntu 22.04. Ubuntu 20.04 has python==3.8, and TGI requires python>=3.9, hence the need for miniconda.
+# Install mamba
+# translating Docker's TARGETPLATFORM into mamba arches
+RUN case ${TARGETPLATFORM} in \
+         "linux/arm64")  MAMBA_ARCH=aarch64  ;; \
+         *)              MAMBA_ARCH=x86_64   ;; \
+    esac && \
+    curl -fsSL -v -o ~/mambaforge.sh -O  "https://github.com/conda-forge/miniforge/releases/download/${MAMBA_VERSION}/Mambaforge-${MAMBA_VERSION}-Linux-${MAMBA_ARCH}.sh"
+RUN chmod +x ~/mambaforge.sh && \
+    bash ~/mambaforge.sh -b -p /opt/conda && \
+    mamba init && \
+    rm ~/mambaforge.sh
+
+# Install PyTorch nightly (2.2.0.dev2023) compiled against RoCm 5.7, as VLLM can not be compiled with RoCm 5.6.
+RUN pip install --pre torch==2.2.0.dev20231106 --index-url https://download.pytorch.org/whl/nightly/rocm5.7
+
+FROM base AS kernel-builder
+
+# Build vllm kernels
+FROM kernel-builder AS vllm-builder
+WORKDIR /usr/src
+
+COPY server/Makefile-vllm Makefile
+
+# Build specific version of vllm
+RUN make build-vllm-rocm
+
+# Build Flash Attention v2 kernels
+FROM kernel-builder AS flash-att-v2-builder
+WORKDIR /usr/src
+
+COPY server/Makefile-flash-att-v2 Makefile
+
+# Build specific version of flash attention v2
+RUN make build-flash-attention-v2-rocm
+
+# Build Transformers CUDA kernels (gpt-neox and bloom)
+FROM kernel-builder as custom-kernels-builder
+WORKDIR /usr/src
+COPY server/custom_kernels/ .
+RUN PYTORCH_ROCM_ARCH=gfx90a python setup.py build
+
+FROM base as base-copy
+
+# Text Generation Inference base env
+ENV HUGGINGFACE_HUB_CACHE=/data \
+    HF_HUB_ENABLE_HF_TRANSFER=1 \
+    PORT=80
+
+# Copy builds artifacts from vllm builder
+COPY --from=vllm-builder /usr/src/vllm/build/lib.linux-x86_64-cpython-310 /opt/conda/lib/python3.10/site-packages
+
+# Copy build artifacts from flash attention v2 builder
+COPY --from=flash-att-v2-builder /usr/src/flash-attention-v2/build/lib.linux-x86_64-cpython-310 /opt/conda/lib/python3.10/site-packages
+
+# Copy build artifacts from custom kernels builder
+COPY --from=custom-kernels-builder /usr/src/build/lib.linux-x86_64-cpython-310 /opt/conda/lib/python3.10/site-packages
+
+# Install flash-attention dependencies
+RUN pip install einops --no-cache-dir
+
+# Install server
+COPY proto proto
+COPY server server
+COPY server/Makefile server/Makefile
+RUN cd server && \
+    make gen-server && \
+    pip install -r requirements_rocm.txt && \
+    pip install ".[accelerate, peft]" --no-cache-dir
+
+# Install benchmarker
+COPY --from=builder /usr/src/target/release/text-generation-benchmark /usr/local/bin/text-generation-benchmark
+# Install router
+COPY --from=builder /usr/src/target/release/text-generation-router /usr/local/bin/text-generation-router
+# Install launcher
+COPY --from=builder /usr/src/target/release/text-generation-launcher /usr/local/bin/text-generation-launcher
+
+# AWS Sagemaker compatible image
+FROM base-copy as sagemaker
+COPY sagemaker-entrypoint.sh entrypoint.sh
+RUN chmod +x entrypoint.sh
+
+ENTRYPOINT ["./entrypoint.sh"]
+
+# Final image
+FROM base-copy
+
+ENTRYPOINT ["text-generation-launcher"]
+CMD ["--json-output"]
diff --git a/README.md b/README.md
index 196cb1ee8..480cc9a75 100644
--- a/README.md
+++ b/README.md
@@ -58,11 +58,11 @@ For more information and documentation about Text Generation Inference, checkout
 Not all features of TGI are currently supported as this is still a work in progress.
 
 New changes are added for the current release:
-- Sharded feature with support for DeepSpeed-inference auto tensor parallism. Also use HPU graph for performance improvement.
+- Sharded feature with support for DeepSpeed-inference auto tensor parallelism. Also, use HPU graphs for performance improvement.
 - Torch profile.
 
 
-Enviroment Variables Added:
+Environment Variables Added:
 
 <div align="center">
 
diff --git a/docs/openapi.json b/docs/openapi.json
index f2619a95f..6a15ae66f 100644
--- a/docs/openapi.json
+++ b/docs/openapi.json
@@ -10,7 +10,7 @@
       "name": "Apache 2.0",
       "url": "https://www.apache.org/licenses/LICENSE-2.0"
     },
-    "version": "1.1.1"
+    "version": "1.2.0"
   },
   "paths": {
     "/": {
diff --git a/docs/source/basic_tutorials/gated_model_access.md b/docs/source/basic_tutorials/gated_model_access.md
index da5850390..e1abccac2 100644
--- a/docs/source/basic_tutorials/gated_model_access.md
+++ b/docs/source/basic_tutorials/gated_model_access.md
@@ -19,6 +19,6 @@ docker run --gpus all \
     --shm-size 1g \
     -e HUGGING_FACE_HUB_TOKEN=$token \
     -p 8080:80 \
-    -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.1.1 \
+    -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.2 \
     --model-id $model
 ```
diff --git a/docs/source/quicktour.md b/docs/source/quicktour.md
index efcaae28f..80561c27f 100644
--- a/docs/source/quicktour.md
+++ b/docs/source/quicktour.md
@@ -8,13 +8,15 @@ Let's say you want to deploy [Falcon-7B Instruct](https://huggingface.co/tiiuae/
 model=tiiuae/falcon-7b-instruct
 volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
 
-docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.1.1 --model-id $model
+docker run --gpus all --shm-size 1g -p 8080:80 -v $volume:/data ghcr.io/huggingface/text-generation-inference:1.2 --model-id $model
 ```
 
 <Tip warning={true}>
 
 To use GPUs, you need to install the [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html)  . We also recommend using NVIDIA drivers with CUDA version 11.8 or higher.
 
+To use TGI on RoCm-enabled AMD GPUs (only MI210 and MI250 are tested), please use the image `ghcr.io/huggingface/text-generation-inference:1.2+rocm` instead. For details about the usage on RoCm, please refer to the [Supported Hardware section](./supported_models#supported-hardware) and [AMD documentation](https://rocm.docs.amd.com/en/latest/deploy/docker.html).
+
 </Tip>
 
 Once TGI is running, you can use the `generate` endpoint by doing requests. To learn more about how to query the endpoints, check the [Consuming TGI](./basic_tutorials/consuming_tgi) section, where we show examples with utility libraries and UIs. Below you can see a simple snippet to query the endpoint.
@@ -85,7 +87,7 @@ curl 127.0.0.1:8080/generate \
 To see all possible deploy flags and options, you can use the `--help` flag. It's possible to configure the number of shards, quantization, generation parameters, and more.
 
 ```bash
-docker run ghcr.io/huggingface/text-generation-inference:1.1.1 --help
+docker run ghcr.io/huggingface/text-generation-inference:1.2 --help
 ```
 
 </Tip>
diff --git a/docs/source/supported_models.md b/docs/source/supported_models.md
index 8b4c33b12..d7d45b709 100644
--- a/docs/source/supported_models.md
+++ b/docs/source/supported_models.md
@@ -39,9 +39,9 @@ text-generation-launcher --model-id <PATH-TO-LOCAL-BLOOM>
 
 ## Supported Hardware
 
-TGI optimized models are supported on NVIDIA [A100](https://www.nvidia.com/en-us/data-center/a100/), [A10G](https://www.nvidia.com/en-us/data-center/products/a10-gpu/) and [T4](https://www.nvidia.com/en-us/data-center/tesla-t4/) GPUs with CUDA 11.8+. Note that you have to install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) to use it. For other hardware, continuous batching will still apply, but some operations like flash attention and paged attention will not be executed. 
+TGI optimized models are supported on NVIDIA [A100](https://www.nvidia.com/en-us/data-center/a100/), [A10G](https://www.nvidia.com/en-us/data-center/products/a10-gpu/) and [T4](https://www.nvidia.com/en-us/data-center/tesla-t4/) GPUs with CUDA 11.8+. Note that you have to install [NVIDIA Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html) to use it. For other NVIDIA GPUs, continuous batching will still apply, but some operations like flash attention and paged attention will not be executed. 
+
+TGI also has support of RoCm-enabled AMD Instinct MI210 and MI250 GPUs, with paged attention and flash attention v2 support. The following features are missing from the RoCm version of TGI: quantization and flash [layer norm kernel](https://github.com/Dao-AILab/flash-attention/tree/main/csrc/layer_norm).
 
 TGI is also supported on the following AI hardware accelerators:
 - *Habana first-gen Gaudi and Gaudi2:* check out this [example](https://github.com/huggingface/optimum-habana/tree/main/text-generation-inference) how to serve models with TGI on Gaudi and Gaudi2 with [Optimum Habana](https://huggingface.co/docs/optimum/habana/index)
-
-
diff --git a/integration-tests/conftest.py b/integration-tests/conftest.py
index 3f7a24dd3..35c8faae0 100644
--- a/integration-tests/conftest.py
+++ b/integration-tests/conftest.py
@@ -24,6 +24,7 @@ DOCKER_VOLUME = os.getenv("DOCKER_VOLUME", "/data")
 
 
 class ResponseComparator(JSONSnapshotExtension):
+    rtol = 0.2
     def serialize(
         self,
         data,
@@ -58,7 +59,7 @@ class ResponseComparator(JSONSnapshotExtension):
             return (
                 token.id == other.id
                 and token.text == other.text
-                and math.isclose(token.logprob, other.logprob, rel_tol=0.2)
+                and math.isclose(token.logprob, other.logprob, rel_tol=self.rtol)
                 and token.special == other.special
             )
 
@@ -68,7 +69,7 @@ class ResponseComparator(JSONSnapshotExtension):
                     prefill_token.id == other.id
                     and prefill_token.text == other.text
                     and (
-                        math.isclose(prefill_token.logprob, other.logprob, rel_tol=0.2)
+                        math.isclose(prefill_token.logprob, other.logprob, rel_tol=self.rtol)
                         if prefill_token.logprob is not None
                         else prefill_token.logprob == other.logprob
                     )
@@ -148,6 +149,10 @@ class ResponseComparator(JSONSnapshotExtension):
         )
 
 
+class GenerousResponseComparator(ResponseComparator):
+    # Needed for GPTQ with exllama which has serious numerical fluctuations.
+    rtol = 0.75
+
 class LauncherHandle:
     def __init__(self, port: int):
         self.client = AsyncClient(f"http://localhost:{port}")
@@ -193,6 +198,10 @@ class ProcessLauncherHandle(LauncherHandle):
 def response_snapshot(snapshot):
     return snapshot.use_extension(ResponseComparator)
 
+@pytest.fixture
+def generous_response_snapshot(snapshot):
+    return snapshot.use_extension(GenerousResponseComparator)
+
 
 @pytest.fixture(scope="module")
 def event_loop():
@@ -210,6 +219,7 @@ def launcher(event_loop):
         quantize: Optional[str] = None,
         trust_remote_code: bool = False,
         use_flash_attention: bool = True,
+        dtype: Optional[str] = None
     ):
         port = random.randint(8000, 10_000)
         master_port = random.randint(10_000, 20_000)
@@ -237,6 +247,9 @@ def launcher(event_loop):
         if quantize is not None:
             args.append("--quantize")
             args.append(quantize)
+        if dtype is not None:
+            args.append("--dtype")
+            args.append(dtype)
         if trust_remote_code:
             args.append("--trust-remote-code")
 
@@ -269,6 +282,7 @@ def launcher(event_loop):
         quantize: Optional[str] = None,
         trust_remote_code: bool = False,
         use_flash_attention: bool = True,
+        dtype: Optional[str] = None
     ):
         port = random.randint(8000, 10_000)
 
@@ -279,6 +293,9 @@ def launcher(event_loop):
         if quantize is not None:
             args.append("--quantize")
             args.append(quantize)
+        if dtype is not None:
+            args.append("--dtype")
+            args.append(dtype)
         if trust_remote_code:
             args.append("--trust-remote-code")
 
@@ -318,6 +335,7 @@ def launcher(event_loop):
             ],
             volumes=volumes,
             ports={"80/tcp": port},
+            shm_size="1G"
         )
 
         yield ContainerLauncherHandle(client, container.name, port)
diff --git a/integration-tests/models/test_flash_starcoder_gptq.py b/integration-tests/models/test_flash_starcoder_gptq.py
index 608101fbe..5e448d553 100644
--- a/integration-tests/models/test_flash_starcoder_gptq.py
+++ b/integration-tests/models/test_flash_starcoder_gptq.py
@@ -15,20 +15,20 @@ async def flash_starcoder_gptq(flash_starcoder_gptq_handle):
 
 @pytest.mark.asyncio
 @pytest.mark.private
-async def test_flash_starcoder_gptq(flash_starcoder_gptq, response_snapshot):
+async def test_flash_starcoder_gptq(flash_starcoder_gptq, generous_response_snapshot):
     response = await flash_starcoder_gptq.generate(
         "def geometric_mean(L: List[float]):",
         max_new_tokens=20,
         decoder_input_details=True,
     )
     assert response.details.generated_tokens == 20
-    assert response == response_snapshot
+    assert response == generous_response_snapshot
 
 
 @pytest.mark.asyncio
 @pytest.mark.private
 async def test_flash_starcoder_gptq_default_params(
-    flash_starcoder_gptq, response_snapshot
+    flash_starcoder_gptq, generous_response_snapshot
 ):
     response = await flash_starcoder_gptq.generate(
         "def geometric_mean(L: List[float]):",
@@ -39,13 +39,13 @@ async def test_flash_starcoder_gptq_default_params(
         seed=0,
     )
     assert response.details.generated_tokens == 20
-    assert response == response_snapshot
+    assert response == generous_response_snapshot
 
 
 @pytest.mark.asyncio
 @pytest.mark.private
 async def test_flash_starcoder_gptq_load(
-    flash_starcoder_gptq, generate_load, response_snapshot
+    flash_starcoder_gptq, generate_load, generous_response_snapshot
 ):
     responses = await generate_load(
         flash_starcoder_gptq,
@@ -57,4 +57,4 @@ async def test_flash_starcoder_gptq_load(
     assert len(responses) == 4
     assert all([r.generated_text == responses[0].generated_text for r in responses])
 
-    assert responses == response_snapshot
+    assert responses == generous_response_snapshot
diff --git a/integration-tests/models/test_idefics.py b/integration-tests/models/test_idefics.py
index 5f4571b57..5a81a4f09 100644
--- a/integration-tests/models/test_idefics.py
+++ b/integration-tests/models/test_idefics.py
@@ -3,7 +3,7 @@ import pytest
 
 @pytest.fixture(scope="module")
 def idefics_handle(launcher):
-    with launcher("HuggingFaceM4/idefics-9b-instruct", num_shard=2) as handle:
+    with launcher("HuggingFaceM4/idefics-9b-instruct", num_shard=2, dtype="float16") as handle:
         yield handle
 
 
diff --git a/integration-tests/pyproject.toml b/integration-tests/pyproject.toml
index 9303ba527..754111315 100644
--- a/integration-tests/pyproject.toml
+++ b/integration-tests/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "text-generation-integration-tests"
-version = "1.1.1"
+version = "1.2.0"
 description = "Text Generation Inference integration tests"
 authors = ["Nicolas Patry <nicolas@huggingface.co>"]
 
diff --git a/router/src/infer.rs b/router/src/infer.rs
index cc34c466b..aa6dc6646 100644
--- a/router/src/infer.rs
+++ b/router/src/infer.rs
@@ -82,7 +82,7 @@ impl Infer {
     }
 
     /// Add a new request to the queue and return a stream of InferStreamResponse
-    #[instrument(skip(self))]
+    #[instrument(skip_all)]
     pub(crate) async fn generate_stream(
         &self,
         request: GenerateRequest,
@@ -133,7 +133,7 @@ impl Infer {
     }
 
     /// Add a new request to the queue and return a InferResponse
-    #[instrument(skip(self))]
+    #[instrument(skip_all)]
     pub(crate) async fn generate(
         &self,
         request: GenerateRequest,
@@ -214,7 +214,7 @@ impl Infer {
     }
     /// Add best_of new requests to the queue and return a InferResponse of the sequence with
     /// the highest log probability per token
-    #[instrument(skip(self))]
+    #[instrument(skip(self, request))]
     pub(crate) async fn generate_best_of(
         &self,
         request: GenerateRequest,
diff --git a/router/src/lib.rs b/router/src/lib.rs
index 560b8f749..b547dc157 100644
--- a/router/src/lib.rs
+++ b/router/src/lib.rs
@@ -300,15 +300,21 @@ mod tests {
     use tokenizers::Tokenizer;
 
     pub(crate) async fn get_tokenizer() -> Tokenizer {
-        if !std::path::Path::new("tokenizer.json").exists() {
+        let filename = std::path::Path::new("tokenizer.json");
+        if !filename.exists() {
             let content = reqwest::get("https://huggingface.co/gpt2/raw/main/tokenizer.json")
                 .await
                 .unwrap()
                 .bytes()
                 .await
                 .unwrap();
-            let mut file = std::fs::File::create("tokenizer.json").unwrap();
+            let tmp_filename = "tokenizer.json.temp";
+            let mut file = std::fs::File::create(tmp_filename).unwrap();
             file.write_all(&content).unwrap();
+            // Re-check if another process has written this file maybe.
+            if !filename.exists() {
+                std::fs::rename(tmp_filename, filename).unwrap()
+            }
         }
         Tokenizer::from_file("tokenizer.json").unwrap()
     }
diff --git a/router/src/validation.rs b/router/src/validation.rs
index 7a84640dc..1b47fc974 100644
--- a/router/src/validation.rs
+++ b/router/src/validation.rs
@@ -69,7 +69,7 @@ impl Validation {
         }
     }
 
-    #[instrument(skip_all)]
+    #[instrument(skip(self, inputs))]
     async fn validate_input(
         &self,
         inputs: String,
diff --git a/server/Makefile b/server/Makefile
index d99659d12..49001f6d2 100644
--- a/server/Makefile
+++ b/server/Makefile
@@ -18,8 +18,8 @@ gen-server:
 
 install: gen-server
 	pip install pip --upgrade
-	pip install -r requirements.txt
-	pip install -e ".[bnb, accelerate]"
+	pip install -r requirements_cuda.txt
+	pip install -e ".[bnb, accelerate, quantize, peft]"
 
 run-dev:
 	SAFETENSORS_FAST_GPU=1 python -m torch.distributed.run --nproc_per_node=2 text_generation_server/cli.py serve bigscience/bloom-560m --sharded
diff --git a/server/Makefile-flash-att b/server/Makefile-flash-att
index bc1d37ef5..b4b2e40c9 100644
--- a/server/Makefile-flash-att
+++ b/server/Makefile-flash-att
@@ -2,7 +2,7 @@ flash_att_commit := 3a9bfd076f98746c73362328958dbc68d145fbec
 
 flash-attention:
     # Clone flash attention
-	pip install packaging
+	pip install -U packaging ninja  --no-cache-dir
 	git clone https://github.com/HazyResearch/flash-attention.git
 
 build-flash-attention: flash-attention
diff --git a/server/Makefile-flash-att-v2 b/server/Makefile-flash-att-v2
index 583437b2e..71c6cabe0 100644
--- a/server/Makefile-flash-att-v2
+++ b/server/Makefile-flash-att-v2
@@ -1,13 +1,29 @@
-flash_att_v2_commit := 02ac572f3ffc4f402e4183aaa6824b45859d3ed3
+flash_att_v2_commit_cuda := 02ac572f3ffc4f402e4183aaa6824b45859d3ed3
+flash_att_v2_commit_rocm := 8736558c287ff2ef28b24878e42828c595ac3e69
 
-flash-attention-v2:
-    # Clone flash attention
-	pip install packaging
+
+flash-attention-v2-cuda:
+  # Clone flash attention
+	pip install -U packaging ninja  --no-cache-dir
 	git clone https://github.com/HazyResearch/flash-attention.git flash-attention-v2
 
-build-flash-attention-v2: flash-attention-v2
-	cd flash-attention-v2 && git fetch && git checkout $(flash_att_v2_commit)
+build-flash-attention-v2-cuda: flash-attention-v2-cuda
+	cd flash-attention-v2 && git fetch && git checkout $(flash_att_v2_commit_cuda)
+	cd flash-attention-v2 && git submodule update --init --recursive
 	cd flash-attention-v2 && python setup.py build
 
-install-flash-attention-v2: build-flash-attention-v2
-	cd flash-attention-v2 && python setup.py install
\ No newline at end of file
+install-flash-attention-v2-cuda: build-flash-attention-v2-cuda
+	cd flash-attention-v2 && git submodule update --init --recursive && python setup.py install
+
+flash-attention-v2-rocm:
+  # Clone flash attention
+	pip install -U packaging ninja  --no-cache-dir
+	git clone https://github.com/fxmarty/flash-attention-rocm flash-attention-v2
+
+build-flash-attention-v2-rocm: flash-attention-v2-rocm
+	cd flash-attention-v2 && git fetch && git checkout $(flash_att_v2_commit_rocm)
+	cd flash-attention-v2 && git submodule update --init --recursive
+	cd flash-attention-v2 && PYTORCH_ROCM_ARCH=gfx90a python setup.py build
+
+install-flash-attention-v2-rocm: build-flash-attention-v2-rocm
+	cd flash-attention-v2 && git submodule update --init --recursive && python setup.py install
diff --git a/server/Makefile-vllm b/server/Makefile-vllm
index c601e452a..ddb648ead 100644
--- a/server/Makefile-vllm
+++ b/server/Makefile-vllm
@@ -1,11 +1,20 @@
-vllm_commit := f8a1e39fae05ca610be8d5a78be9d40f5274e5fc
+build-vllm-cuda: REPOSITORY=https://github.com/vllm-project/vllm.git
+build-vllm-cuda: VLLM_COMMIT=f8a1e39fae05ca610be8d5a78be9d40f5274e5fc
+build-vllm-cuda: BRANCH=main
+build-vllm-cuda: build-vllm
+
+build-vllm-rocm: REPOSITORY=https://github.com/fxmarty/vllm-public.git
+build-vllm-rocm: VLLM_COMMIT=ad9b7c4095ef54419a0533d254f2ad84bd2dfcae
+build-vllm-rocm: BRANCH=rotary-no-positions-split-cos-sin
+build-vllm-rocm: build-vllm
 
 vllm:
     # Clone vllm
-	git clone https://github.com/vllm-project/vllm.git
+	pip install -U ninja packaging --no-cache-dir
+	git clone --single-branch --branch $(BRANCH) $(REPOSITORY) vllm
 
 build-vllm: vllm
-	cd vllm && git fetch && git checkout $(vllm_commit)
+	cd vllm && git fetch && git checkout $(VLLM_COMMIT)
 	cd vllm && python setup.py build
 
 install-vllm: build-vllm
diff --git a/server/custom_kernels/setup.py b/server/custom_kernels/setup.py
index 43b8ee4ed..69f6b72ab 100644
--- a/server/custom_kernels/setup.py
+++ b/server/custom_kernels/setup.py
@@ -1,5 +1,10 @@
 from setuptools import setup
 from torch.utils.cpp_extension import BuildExtension, CUDAExtension
+import torch
+
+extra_compile_args = ["-std=c++17"]
+if not torch.version.hip:
+    extra_compile_args.append("-arch=compute_80")
 
 setup(
     name="custom_kernels",
@@ -7,12 +12,12 @@ setup(
         CUDAExtension(
             name="custom_kernels.fused_bloom_attention_cuda",
             sources=["custom_kernels/fused_bloom_attention_cuda.cu"],
-            extra_compile_args=["-arch=compute_80", "-std=c++17"],
+            extra_compile_args=extra_compile_args,
         ),
         CUDAExtension(
             name="custom_kernels.fused_attention_cuda",
             sources=["custom_kernels/fused_attention_cuda.cu"],
-            extra_compile_args=["-arch=compute_80", "-std=c++17"],
+            extra_compile_args=extra_compile_args,
         ),
     ],
     cmdclass={"build_ext": BuildExtension},
diff --git a/server/exllamav2_kernels/exllamav2_kernels/config.h b/server/exllamav2_kernels/exllamav2_kernels/config.h
new file mode 100644
index 000000000..86baaf412
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/config.h
@@ -0,0 +1,13 @@
+#ifndef _config_h
+#define _config_h
+
+#define MAX_Q_GEMM_ROWS 50
+
+#define QMODE_2BIT 1
+#define QMODE_3BIT 1
+#define QMODE_4BIT 1
+#define QMODE_5BIT 1
+#define QMODE_6BIT 0
+#define QMODE_8BIT 0
+
+#endif
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cpp/util.h b/server/exllamav2_kernels/exllamav2_kernels/cpp/util.h
new file mode 100644
index 000000000..919703a89
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cpp/util.h
@@ -0,0 +1,12 @@
+#ifndef _util_h
+#define _util_h
+
+#define DBGS(__x) printf("%s\n", __x)
+#define DBGI(__x) printf("%s: %i\n", #__x, __x)
+#define DBGI2(__x, __y) printf("%s, %s: %i, %i\n", #__x, #__y, __x, __y)
+#define DBGI3(__x, __y, __z) printf("%s, %s, %s: %i, %i, %i\n", #__x, #__y, #__z, __x, __y, __z)
+#define DBGF(__x) printf("%s: %f\n", #__x, __x)
+#define DBGF2(__x, __y) printf("%s, %s: %f, %f\n", #__x, #__y, __x, __y)
+#define DBGF3(__x, __y, __z) printf("%s, %s, %s: %f, %f, %f\n", #__x, #__y, #__z, __x, __y, __z)
+
+#endif
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/compat.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/compat.cuh
new file mode 100644
index 000000000..12684ff8b
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/compat.cuh
@@ -0,0 +1,56 @@
+#ifndef _compat_cuh
+#define _compat_cuh
+
+// atomicAdd for half types, to support CC < 7.x
+
+__device__ __forceinline__ void atomicAdd_half(half* address, half val)
+{
+    unsigned int * address_as_ui = (unsigned int *) ((char *)address - ((size_t)address & 2));
+    unsigned int old = *address_as_ui;
+    unsigned int assumed;
+
+    do
+    {
+        assumed = old;
+        __half_raw hsum;
+        hsum.x = (size_t)address & 2 ? (old >> 16) : (old & 0xffff);
+        half tmpres = __hadd(hsum, val);
+        hsum = __half_raw(tmpres);
+        old = (size_t)address & 2 ? (old & 0xffff) | (hsum.x << 16) : (old & 0xffff0000) | hsum.x;
+        old = atomicCAS(address_as_ui, assumed, old);
+    }
+    while (assumed != old);
+}
+
+// atomicAdd for half2 types
+
+__device__ __forceinline__ void atomicAdd_half2(half2* address, half2 val)
+{
+    unsigned int* address_as_ui = (unsigned int*)address;
+    unsigned int old = *address_as_ui;
+    unsigned int assumed;
+    do
+    {
+        assumed = old;
+        half2 old_val = *((half2*)&old);
+        half2 new_val = __hadd2(old_val, val);
+        old = atomicCAS(address_as_ui, assumed, *((unsigned int*)&new_val));
+    }
+    while (assumed != old);
+}
+
+//
+
+#if defined(__CUDA_ARCH__) || defined(USE_ROCM)
+#if __CUDA_ARCH__ < 700 || defined(USE_ROCM)
+
+__device__ __forceinline__ void atomicAdd(half* address, half val) { atomicAdd_half(address, val); }
+
+#if __CUDA_ARCH__ < 600 || defined(USE_ROCM)
+__device__ __forceinline__ void atomicAdd(half2* address, half2 val) { atomicAdd_half2(address, val); }
+#endif
+
+#endif
+#endif
+
+#endif
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/compat_gemm.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/compat_gemm.cuh
new file mode 100644
index 000000000..19b1e4a60
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/compat_gemm.cuh
@@ -0,0 +1,38 @@
+#ifndef _compat_gemm_cuh
+#define _compat_gemm_cuh
+
+#if defined(USE_ROCM)
+
+// For some reason this include is not present anywhere in exllama_v2 codebase, but it is required
+// for symbols as hipblasHalf.
+#include <hipblas/hipblas.h>
+
+__host__ __forceinline__ hipblasStatus_t __compat_hipblasHgemm(hipblasHandle_t    handle,
+                                                               hipblasOperation_t transA,
+                                                               hipblasOperation_t transB,
+                                                               int                m,
+                                                               int                n,
+                                                               int                k,
+                                                               const half*        alpha,
+                                                               const half*        AP,
+                                                               int                lda,
+                                                               const half*        BP,
+                                                               int                ldb,
+                                                               const half*        beta,
+                                                               half*              CP,
+                                                               int                ldc) {
+    return hipblasHgemm(handle, transA, transB, m, n, k,
+                        reinterpret_cast<const hipblasHalf *>(alpha),
+                        reinterpret_cast<const hipblasHalf *>(AP), lda,
+                        reinterpret_cast<const hipblasHalf *>(BP), ldb,
+                        reinterpret_cast<const hipblasHalf *>(beta),
+                        reinterpret_cast<hipblasHalf *>(CP), ldc);
+}
+#define hipblasHgemm __compat_hipblasHgemm
+
+// Previous version of PyTorch were converting to rocBLAS instead of hipBLAS.
+#define rocblas_operation_none HIPBLAS_OP_N
+#define rocblas_hgemm __compat_hipblasHgemm
+#endif
+
+#endif
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/matrix_view.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/matrix_view.cuh
new file mode 100644
index 000000000..55af84f23
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/matrix_view.cuh
@@ -0,0 +1,121 @@
+#ifndef _matrix_view_cuh
+#define _matrix_view_cuh
+
+#include <cuda_runtime.h>
+#include <cuda_fp16.h>
+
+#include "quant/qdq_util.cuh"
+
+class MatrixView_half
+{
+public:
+    const half* data;
+    const int height;
+    const int width;
+
+    __device__ __forceinline__ MatrixView_half(const half* data, const int height, const int width)
+        : data(data), height(height), width(width)
+    { }
+
+    __device__ __forceinline__ half item(int row, int column) const { return data[row * width + column]; }
+    __device__ __forceinline__ half2 item_half2(int row, int column) const { return ((half2*)data)[(row * width + column) / 2]; }
+    __device__ __forceinline__ half2 item_half2half2(int row, int column) const { return __half2half2(data[row * width + column]); }
+    __device__ __forceinline__ const half* item_ptr(int row, int column) const { return &data[row * width + column]; }
+
+    __device__ __forceinline__ void item4(half (&items)[4], int row, int column) const
+    {
+        half2* ptr = (half2*) item_ptr(row, column);
+        half2 i01 = ptr[0];
+        half2 i23 = ptr[1];
+        items[0] = __low2half(i01);
+        items[1] = __high2half(i01);
+        items[2] = __low2half(i23);
+        items[3] = __high2half(i23);
+    }
+    __device__ __forceinline__ void item4_f(float (&items)[4], int row, int column) const
+    {
+        half2* ptr = (half2*)item_ptr(row, column);
+        half2 i01 = ptr[0];
+        half2 i23 = ptr[1];
+        items[0] = __half2float(__low2half(i01));
+        items[1] = __half2float(__high2half(i01));
+        items[2] = __half2float(__low2half(i23));
+        items[3] = __half2float(__high2half(i23));
+    }
+
+    __device__ __forceinline__ void item4_h2(half2 (&items)[4], int row, int column) const
+    {
+        half2* ptr = (half2*)item_ptr(row, column);
+        half2 i01 = ptr[0];
+        half2 i23 = ptr[1];
+        items[0] = __half2half2(__low2half(i01));
+        items[1] = __half2half2(__high2half(i01));
+        items[2] = __half2half2(__low2half(i23));
+        items[3] = __half2half2(__high2half(i23));
+    }
+};
+
+class MatrixView_half_rw
+{
+public:
+    half* data;
+    const int height;
+    const int width;
+
+    __device__ __forceinline__ MatrixView_half_rw(half* data, const int height, const int width)
+        : data(data), height(height), width(width)
+    { }
+
+    __device__ __forceinline__ half item(int row, int column) const { return data[row * width + column]; }
+    __device__ __forceinline__ half2 item_half2(int row, int column) const { return ((half2*)data)[(row * width + column) / 2]; }
+    __device__ __forceinline__ half* item_ptr(int row, int column) { return &data[row * width + column]; }
+    __device__ __forceinline__ void set(int row, int column, half value) { data[row * width + column] = value; }
+    __device__ __forceinline__ void set_half2(int row, int column, half2 value) { ((half2*)data)[(row * width + column) / 2] = value; }
+
+    __device__ __forceinline__ void set4(int row, int column, half v0, half v1, half v2, half v3)
+    {
+        half2 v01 = __halves2half2(v0, v1);
+        half2 v23 = __halves2half2(v2, v3);
+        half2* ptr = (half2*) item_ptr(row, column);
+        ptr[0] = v01;
+        ptr[1] = v23;
+    }
+};
+
+class MatrixView_q4_row
+{
+public:
+    const uint32_t* data;
+    const int height;
+    const int width;
+
+    __device__ __forceinline__ MatrixView_q4_row(const uint32_t* data, const int height, const int width)
+        : data(data), height(height), width(width)
+    { }
+
+    __device__ __forceinline__ int item(int row, int column) const
+    {
+        int shift = (column & 0x07) * 4;
+        return (data[row * width / 8 + column / 8] >> shift) & 0x0f;
+    }
+
+    __device__ __forceinline__ void item2(int (&items)[2], int row, int column) const
+    {
+        int shift = (column & 0x07) * 4;
+        uint32_t d = data[row * width / 8 + column / 8] >> shift;
+        items[0] = d & 0x0f;
+        items[1] = (d >> 4) & 0x0f;
+    }
+
+    __device__ __forceinline__ void item4(int (&items)[4], int row, int column) const
+    {
+        int shift = (column & 0x07) * 4;
+        uint32_t d = data[row * width / 8 + column / 8] >> shift;
+        items[0] = d & 0x0f;
+        items[1] = (d >> 4) & 0x0f;
+        items[2] = (d >> 8) & 0x0f;
+        items[3] = (d >> 12) & 0x0f;
+    }
+};
+
+#endif
\ No newline at end of file
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cu b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cu
new file mode 100644
index 000000000..351b9cd5b
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cu
@@ -0,0 +1,211 @@
+#include "q_gemm.cuh"
+#include "util.cuh"
+#include "matrix_view.cuh"
+#include "../config.h"
+
+#include "quant/qdq_2.cuh"
+#include "quant/qdq_3.cuh"
+#include "quant/qdq_4.cuh"
+#include "quant/qdq_5.cuh"
+#include "quant/qdq_6.cuh"
+#include "quant/qdq_8.cuh"
+
+#define BLOCK_KN_SIZE 128
+#define BLOCK_M_SIZE_MAX 8
+#define MAX_GROUPS_IN_BLOCK (BLOCK_KN_SIZE / 32)
+#define CLEAR_N_SIZE 256
+
+#include "q_gemm_kernel.cuh"
+#include "q_gemm_kernel_gptq.cuh"
+
+#include "compat_gemm.cuh"
+
+void gemm_half_q_half_cuda_part
+(
+    const half* a,
+    QMatrix* b,
+    half* c,
+    int size_m,
+    int size_n,
+    int size_k,
+    int m_count,
+    bool clear
+)
+{
+    if (!b->is_gptq)
+    {
+        dim3 blockDim, gridDim;
+        blockDim.x = BLOCK_KN_SIZE;
+        blockDim.y = 1;
+        blockDim.z = 1;
+        gridDim.x = DIVIDE(size_n, BLOCK_KN_SIZE * 4);
+        gridDim.y = DIVIDE(size_m, m_count);
+        gridDim.z = DIVIDE(size_k, BLOCK_KN_SIZE);
+
+        fp_gemm_half_q_half_kernel kernel = pick_gemm_half_q_half_kernel(true, m_count);
+
+        kernel<<<gridDim, blockDim>>>
+        (
+            a,
+            b->cuda_q_weight,
+            b->cuda_q_scale,
+            b->cuda_q_scale_max,
+            c,
+            size_m,
+            size_n,
+            size_k,
+            b->groups,
+            b->groupsize,
+            b->cuda_q_perm,
+            b->rows_8,
+            b->rows_6,
+            b->rows_5,
+            b->rows_4,
+            b->rows_3,
+            b->rows_2,
+            clear
+        );
+    }
+    else
+    {
+        dim3 blockDim, gridDim;
+        blockDim.x = BLOCK_KN_SIZE;
+        blockDim.y = 1;
+        blockDim.z = 1;
+        gridDim.x = DIVIDE(size_n, BLOCK_KN_SIZE * 4);
+        gridDim.y = DIVIDE(size_m, m_count);
+        gridDim.z = DIVIDE(size_k, BLOCK_KN_SIZE);
+
+        fp_gemm_half_q_half_gptq_kernel kernel = pick_gemm_half_q_half_gptq_kernel(true, m_count);
+
+//         DBGX((uint64_t) b->cuda_q_perm);
+//         DBGI(b->rows_4);
+//         DBGI(b->height);
+
+        kernel<<<gridDim, blockDim>>>
+        (
+            a,
+            b->cuda_q_weight,
+            b->cuda_gptq_qzeros,
+            b->cuda_gptq_scales,
+            c,
+            size_m,
+            size_n,
+            size_k,
+            b->groups,
+            b->groupsize,
+            b->cuda_q_perm,
+            b->rows_4,
+            clear
+        );
+    }
+}
+
+void gemm_half_q_half_cuda
+(
+    cublasHandle_t cublas_handle,
+    const half* a,
+    QMatrix* b,
+    half* c,
+    int size_m,
+    int size_n,
+    int size_k,
+    bool clear,
+    half* temp_dq,
+    bool force_cuda
+)
+{
+    if (size_m > MAX_Q_GEMM_ROWS && !force_cuda)
+    {
+        //printf("cublas\n");
+
+        // Reconstruct FP16 matrix, then cuBLAS
+
+        if (!temp_dq) temp_dq = b->temp_dq;
+        b->reconstruct(temp_dq);
+
+        //cublasSetMathMode(cublas_handle, CUBLAS_TENSOR_OP_MATH);
+
+        const half alpha = __float2half(1.0f);
+        const half beta = clear ? __float2half(0.0f) : __float2half(1.0f);
+        cublasHgemm(cublas_handle,
+                    CUBLAS_OP_N,
+                    CUBLAS_OP_N,
+                    size_n, size_m, size_k,
+                    &alpha, temp_dq, size_n,
+                            a,       size_k,
+                    &beta,  c,       size_n);
+
+        //const float alpha = 1.0f;
+        //const float beta = clear ? 0.0f : 1.0f;
+        //cublasSgemmEx(cublas_handle,
+        //              CUBLAS_OP_N,
+        //              CUBLAS_OP_N,
+        //              size_n, size_m, size_k,
+        //              &alpha, temp_dq, CUDA_R_16F, size_n,
+        //                      a,       CUDA_R_16F, size_k,
+        //              &beta,  c,       CUDA_R_16F, size_n);
+
+        //const float alpha = 1.0f;
+        //const float beta = clear ? 0.0f : 1.0f;
+        //cublasGemmEx(cublas_handle,
+        //             CUBLAS_OP_N, CUBLAS_OP_N,
+        //             size_n, size_m, size_k,
+        //             &alpha, temp_dq, CUDA_R_16F, size_n,
+        //                     a,       CUDA_R_16F, size_k,
+        //             &beta,  c,       CUDA_R_16F, size_n,
+        //             CUDA_R_16F, CUBLAS_GEMM_DFALT_TENSOR_OP);
+    }
+    else
+    {
+        //printf("cuda\n");
+
+        // Quantized matmul
+
+        //if (clear) clear_tensor_cuda(c, size_m, size_n);
+
+        int max_chunks = size_m / BLOCK_M_SIZE_MAX;
+        int last_chunk = max_chunks * BLOCK_M_SIZE_MAX;
+        int last_chunk_size = size_m - last_chunk;
+
+        if (max_chunks)
+        {
+            gemm_half_q_half_cuda_part(a, b, c, last_chunk, size_n, size_k, BLOCK_M_SIZE_MAX, clear);
+        }
+
+        if (last_chunk_size)
+        {
+            gemm_half_q_half_cuda_part(a + last_chunk * size_k, b, c + last_chunk * size_n, last_chunk_size, size_n, size_k, last_chunk_size, clear);
+        }
+    }
+}
+
+__global__ void clear_kernel
+(
+    half* __restrict__ c,
+    const int size_m,
+    const int size_n
+)
+{
+    int m = blockIdx.y;
+    int n = (blockIdx.x * CLEAR_N_SIZE + threadIdx.x) * 8;
+    if (n >= size_n) return;
+    int4* c_ptr = (int4*)(c + m * size_n + n);
+    *c_ptr = {};
+}
+
+void clear_tensor_cuda
+(
+    half* c,
+    int size_m,
+    int size_n
+)
+{
+    return;
+    dim3 blockDim, gridDim;
+    blockDim.x = CLEAR_N_SIZE;
+    blockDim.y = 1;
+    gridDim.x = DIVIDE(size_n / 8, CLEAR_N_SIZE);
+    gridDim.y = size_m;
+    clear_kernel<<<gridDim, blockDim>>>(c, size_m, size_n);
+}
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cuh
new file mode 100644
index 000000000..c69f1a709
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm.cuh
@@ -0,0 +1,33 @@
+#ifndef _q_gemm_cuh
+#define _q_gemm_cuh
+
+#include <cuda_runtime.h>
+#include <cuda_fp16.h>
+#include <cstdint>
+#include <cstdio>
+#include <ATen/cuda/CUDAContext.h>
+
+#include "q_matrix.cuh"
+
+void gemm_half_q_half_cuda
+(
+    cublasHandle_t cublas_handle,
+    const half* a,
+    QMatrix* b,
+    half* c,
+    int size_m,
+    int size_n,
+    int size_k,
+    bool clear = false,
+    half* reconstruct = NULL,
+    bool force_cuda = false
+);
+
+void clear_tensor_cuda
+(
+    half* c,
+    int size_m,
+    int size_n
+);
+
+#endif
\ No newline at end of file
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel.cuh
new file mode 100644
index 000000000..0b899a840
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel.cuh
@@ -0,0 +1,487 @@
+#include "compat.cuh"
+
+#include <cuda_runtime.h>
+#include <cuda_fp16.h>
+
+__forceinline__ __device__ half2 dot22_8(half2(&dq)[4], const half* a_ptr, const half2 g_result, const half qs_h)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 4; i++) result = __hfma2(dq[i], *a2_ptr++, result);
+    return __hfma2(result, __halves2half2(qs_h, qs_h), g_result);
+}
+
+__forceinline__ __device__ half2 dot22_16(half2(&dq)[8], const half* a_ptr, const half2 g_result, const half qs_h)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 8; i++) result = __hfma2(dq[i], *a2_ptr++, result);
+    return __hfma2(result, __halves2half2(qs_h, qs_h), g_result);
+}
+
+__forceinline__ __device__ half2 dot22_32(half2(&dq)[16], const half* a_ptr, const half2 g_result, const half qs_h)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 16; i += 1) result = __hfma2(dq[i], *a2_ptr++, result);
+    return __hfma2(result, __halves2half2(qs_h, qs_h), g_result);
+}
+
+__forceinline__ __device__ float dot22_8_f(half2(&dq)[4], const half* a_ptr, const float g_result, const float qs_f)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 4; i++) result = __hfma2(dq[i], *a2_ptr++, result);
+    float result_f = __half2float(__low2half(result)) + __half2float(__high2half(result));
+    return fma(result_f, qs_f, g_result);
+}
+
+__forceinline__ __device__ float dot22_16_f(half2(&dq)[8], const half* a_ptr, const float g_result, const float qs_f)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 8; i++) result = __hfma2(dq[i], *a2_ptr++, result);
+    float result_f = __half2float(__low2half(result)) + __half2float(__high2half(result));
+    return fma(result_f, qs_f, g_result);
+}
+
+__forceinline__ __device__ float dot22_32_f(half2(&dq)[16], const half* a_ptr, const float g_result, const float qs_f)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 16; i += 1) result = __hfma2(dq[i], *a2_ptr++, result);
+    float result_f = __half2float(__low2half(result)) + __half2float(__high2half(result));
+    return fma(result_f, qs_f, g_result);
+}
+
+
+
+typedef void (*fp_gemm_half_q_half_kernel)
+(
+    const half*,
+    const uint32_t*,
+    const uint32_t*,
+    const half*,
+    half*,
+    const int,
+    const int,
+    const int,
+    const int,
+    const int,
+    const uint16_t*,
+    const int,
+    const int,
+    const int,
+    const int,
+    const int,
+    const int,
+    const bool
+);
+
+template <bool first_block, int m_count>
+__global__ void gemm_half_q_half_kernel
+(
+    const half*      __restrict__ a,
+    const uint32_t*  __restrict__ b_q_weight,
+    const uint32_t*  __restrict__ b_q_scale,
+    const half*      __restrict__ b_q_scale_max,
+    half*            __restrict__ c,
+    const int size_m,
+    const int size_n,
+    const int size_k,
+    const int groups,
+    const int groupsize,
+    const uint16_t* __restrict__ b_q_perm,
+    const int rows_8,
+    const int rows_6,
+    const int rows_5,
+    const int rows_4,
+    const int rows_3,
+    const int rows_2,
+    const bool clear
+)
+{
+    MatrixView_half a_(a, size_m, size_k);
+    MatrixView_half_rw c_(c, size_m, size_n);
+    MatrixView_q4_row b_q_scale_(b_q_scale, groups, size_n);
+
+    int t = threadIdx.x;
+
+    // Block
+
+    int offset_n = blockIdx.x * BLOCK_KN_SIZE * 4;
+    int offset_m = blockIdx.y * m_count;
+    int offset_k = blockIdx.z * BLOCK_KN_SIZE;
+
+    int end_n = min(offset_n + BLOCK_KN_SIZE * 4, size_n);
+    int end_m = min(offset_m + m_count, size_m);
+    int end_k = min(offset_k + BLOCK_KN_SIZE, size_k);
+    int n = offset_n + t * 4;
+
+    // Preload block_a
+
+    __shared__ half block_a[m_count][BLOCK_KN_SIZE];
+
+    if (offset_k + t < end_k)
+    {
+        for (int m = 0; m < m_count; ++m)
+        {
+            const half* a_ptr = a_.item_ptr(offset_m + m, 0);
+            half* block_a_ptr = block_a[m];
+            half a0 = a_ptr[b_q_perm[offset_k + t]];
+            block_a_ptr[t] = a0;
+        }
+    }
+
+    // Clear
+
+    if (n >= size_n) return;
+
+    if (clear && blockIdx.z == 0) // && (threadIdx.x & 1) == 0)
+    {
+        for (int m = 0; m < m_count; m++)
+            *((uint64_t*) c_.item_ptr(offset_m + m, n)) = 0;
+    }
+
+    __syncthreads();
+
+    // Find initial group
+
+    int group = offset_k / groupsize;
+
+    // Preload scales
+
+    float scales[MAX_GROUPS_IN_BLOCK][4];
+
+    int groups_in_block = DIVIDE((end_k - offset_k), groupsize);
+    for (int g = 0; g < groups_in_block; g++)
+    {
+        int qscales[4];
+        b_q_scale_.item4(qscales, group + g, n);
+        qscales[0]++;
+        qscales[1]++;
+        qscales[2]++;
+        qscales[3]++;
+        float maxscale = __half2float(b_q_scale_max[group + g]);
+        scales[g][0] = __int2float_rn(qscales[0] * qscales[0]) * maxscale;
+        scales[g][1] = __int2float_rn(qscales[1] * qscales[1]) * maxscale;
+        scales[g][2] = __int2float_rn(qscales[2] * qscales[2]) * maxscale;
+        scales[g][3] = __int2float_rn(qscales[3] * qscales[3]) * maxscale;
+    }
+
+    // a, b offset
+
+    int pre_rows_8 = min(rows_8, offset_k);
+    int pre_rows_6 = offset_k > rows_8 ? min(rows_6, offset_k) - rows_8 : 0;
+    int pre_rows_5 = offset_k > rows_6 ? min(rows_5, offset_k) - rows_6 : 0;
+    int pre_rows_4 = offset_k > rows_5 ? min(rows_4, offset_k) - rows_5 : 0;
+    int pre_rows_3 = offset_k > rows_4 ? min(rows_3, offset_k) - rows_4 : 0;
+    int pre_rows_2 = offset_k > rows_3 ? min(rows_2, offset_k) - rows_3 : 0;
+    int qk = 0;
+    qk += pre_rows_8 / 32 * 8;
+    qk += pre_rows_6 / 32 * 6;
+    qk += pre_rows_5 / 32 * 5;
+    qk += pre_rows_4 / 32 * 4;
+    qk += pre_rows_3 / 32 * 3;
+    qk += pre_rows_2 / 32 * 2;
+
+    const uint32_t* b_ptr = b_q_weight + qk * size_n + n;
+    const half* a_ptr = &block_a[0][0];
+    int a_stride = BLOCK_KN_SIZE;
+
+    // Initial group
+
+    int scales_idx = 0;
+    float qs_f0 = scales[scales_idx][0];
+    float qs_f1 = scales[scales_idx][1];
+    float qs_f2 = scales[scales_idx][2];
+    float qs_f3 = scales[scales_idx][3];
+    int nextgroup = offset_k + groupsize;
+
+    // Column result
+
+    float block_c[m_count][4] = {};
+
+    // Dequantize groups
+
+    int k = offset_k;
+
+    while (k < rows_8 && k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            scales_idx++;
+            qs_f0 = scales[scales_idx][0];
+            qs_f1 = scales[scales_idx][1];
+            qs_f2 = scales[scales_idx][2];
+            qs_f3 = scales[scales_idx][3];
+            nextgroup += groupsize;
+        }
+
+        #pragma unroll
+        for (int j = 0; j < 4; j++)
+        {
+            int4 load_int4[2];
+            load_int4[0] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[1] = *((int4*) b_ptr); b_ptr += size_n;
+
+            half2 dq[4][4];
+            dequant_8bit_8(load_int4[0].x, load_int4[1].x, dq[0], size_n);
+            dequant_8bit_8(load_int4[0].y, load_int4[1].y, dq[1], size_n);
+            dequant_8bit_8(load_int4[0].z, load_int4[1].z, dq[2], size_n);
+            dequant_8bit_8(load_int4[0].w, load_int4[1].w, dq[3], size_n);
+
+            for (int m = 0; m < m_count; m++)
+            {
+                block_c[m][0] = dot22_8_f(dq[0], a_ptr + m * a_stride, block_c[m][0], qs_f0);
+                block_c[m][1] = dot22_8_f(dq[1], a_ptr + m * a_stride, block_c[m][1], qs_f1);
+                block_c[m][2] = dot22_8_f(dq[2], a_ptr + m * a_stride, block_c[m][2], qs_f2);
+                block_c[m][3] = dot22_8_f(dq[3], a_ptr + m * a_stride, block_c[m][3], qs_f3);
+            }
+            a_ptr += 8;
+        }
+        k += 32;
+    }
+
+    while (k < rows_6 && k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            scales_idx++;
+            qs_f0 = scales[scales_idx][0];
+            qs_f1 = scales[scales_idx][1];
+            qs_f2 = scales[scales_idx][2];
+            qs_f3 = scales[scales_idx][3];
+            nextgroup += groupsize;
+        }
+
+        #pragma unroll
+        for (int j = 0; j < 2; j++)
+        {
+            int4 load_int4[3];
+            load_int4[0] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[1] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[2] = *((int4*) b_ptr); b_ptr += size_n;
+
+            half2 dq[4][8];
+            dequant_6bit_16(load_int4[0].x, load_int4[1].x, load_int4[2].x, dq[0], size_n);
+            dequant_6bit_16(load_int4[0].y, load_int4[1].y, load_int4[2].y, dq[1], size_n);
+            dequant_6bit_16(load_int4[0].z, load_int4[1].z, load_int4[2].z, dq[2], size_n);
+            dequant_6bit_16(load_int4[0].w, load_int4[1].w, load_int4[2].w, dq[3], size_n);
+
+            for (int m = 0; m < m_count; m++)
+            {
+                block_c[m][0] = dot22_16_f(dq[0], a_ptr + m * a_stride, block_c[m][0], qs_f0);
+                block_c[m][1] = dot22_16_f(dq[1], a_ptr + m * a_stride, block_c[m][1], qs_f1);
+                block_c[m][2] = dot22_16_f(dq[2], a_ptr + m * a_stride, block_c[m][2], qs_f2);
+                block_c[m][3] = dot22_16_f(dq[3], a_ptr + m * a_stride, block_c[m][3], qs_f3);
+            }
+            a_ptr += 16;
+        }
+        k += 32;
+    }
+
+    while (k < rows_5 && k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            scales_idx++;
+            qs_f0 = scales[scales_idx][0];
+            qs_f1 = scales[scales_idx][1];
+            qs_f2 = scales[scales_idx][2];
+            qs_f3 = scales[scales_idx][3];
+            nextgroup += groupsize;
+        }
+
+        #pragma unroll
+        for (int j = 0; j < 1; j++)
+        {
+            int4 load_int4[5];
+            load_int4[0] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[1] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[2] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[3] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[4] = *((int4*) b_ptr); b_ptr += size_n;
+
+            half2 dq[4][16];
+            dequant_5bit_32(load_int4[0].x, load_int4[1].x, load_int4[2].x, load_int4[3].x, load_int4[4].x, dq[0], size_n);
+            dequant_5bit_32(load_int4[0].y, load_int4[1].y, load_int4[2].y, load_int4[3].y, load_int4[4].y, dq[1], size_n);
+            dequant_5bit_32(load_int4[0].z, load_int4[1].z, load_int4[2].z, load_int4[3].z, load_int4[4].z, dq[2], size_n);
+            dequant_5bit_32(load_int4[0].w, load_int4[1].w, load_int4[2].w, load_int4[3].w, load_int4[4].w, dq[3], size_n);
+
+            for (int m = 0; m < m_count; m++)
+            {
+                block_c[m][0] = dot22_32_f(dq[0], a_ptr + m * a_stride, block_c[m][0], qs_f0);
+                block_c[m][1] = dot22_32_f(dq[1], a_ptr + m * a_stride, block_c[m][1], qs_f1);
+                block_c[m][2] = dot22_32_f(dq[2], a_ptr + m * a_stride, block_c[m][2], qs_f2);
+                block_c[m][3] = dot22_32_f(dq[3], a_ptr + m * a_stride, block_c[m][3], qs_f3);
+            }
+            a_ptr += 32;
+        }
+
+        k += 32;
+    }
+
+    while (k < rows_4 && k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            scales_idx++;
+            qs_f0 = scales[scales_idx][0];
+            qs_f1 = scales[scales_idx][1];
+            qs_f2 = scales[scales_idx][2];
+            qs_f3 = scales[scales_idx][3];
+            nextgroup += groupsize;
+        }
+
+        #pragma unroll
+        for (int j = 0; j < 4; j++)
+        {
+            int4 load_int4[1];
+            load_int4[0] = *((int4*) b_ptr); b_ptr += size_n;
+
+            half2 dq[4][4];
+            dequant_4bit_8(load_int4[0].x, dq[0], size_n);
+            dequant_4bit_8(load_int4[0].y, dq[1], size_n);
+            dequant_4bit_8(load_int4[0].z, dq[2], size_n);
+            dequant_4bit_8(load_int4[0].w, dq[3], size_n);
+
+            for (int m = 0; m < m_count; m++)
+            {
+                block_c[m][0] = dot22_8_f(dq[0], a_ptr + m * a_stride, block_c[m][0], qs_f0);
+                block_c[m][1] = dot22_8_f(dq[1], a_ptr + m * a_stride, block_c[m][1], qs_f1);
+                block_c[m][2] = dot22_8_f(dq[2], a_ptr + m * a_stride, block_c[m][2], qs_f2);
+                block_c[m][3] = dot22_8_f(dq[3], a_ptr + m * a_stride, block_c[m][3], qs_f3);
+            }
+            a_ptr += 8;
+        }
+        k += 32;
+    }
+
+    while (k < rows_3 && k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            scales_idx++;
+            qs_f0 = scales[scales_idx][0];
+            qs_f1 = scales[scales_idx][1];
+            qs_f2 = scales[scales_idx][2];
+            qs_f3 = scales[scales_idx][3];
+            nextgroup += groupsize;
+        }
+
+        #pragma unroll
+        for (int j = 0; j < 1; j++)
+        {
+            int4 load_int4[3];
+            load_int4[0] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[1] = *((int4*) b_ptr); b_ptr += size_n;
+            load_int4[2] = *((int4*) b_ptr); b_ptr += size_n;
+
+            half2 dq[4][16];
+            dequant_3bit_32(load_int4[0].x, load_int4[1].x, load_int4[2].x, dq[0], size_n);
+            dequant_3bit_32(load_int4[0].y, load_int4[1].y, load_int4[2].y, dq[1], size_n);
+            dequant_3bit_32(load_int4[0].z, load_int4[1].z, load_int4[2].z, dq[2], size_n);
+            dequant_3bit_32(load_int4[0].w, load_int4[1].w, load_int4[2].w, dq[3], size_n);
+
+            for (int m = 0; m < m_count; m++)
+            {
+                block_c[m][0] = dot22_32_f(dq[0], a_ptr + m * a_stride, block_c[m][0], qs_f0);
+                block_c[m][1] = dot22_32_f(dq[1], a_ptr + m * a_stride, block_c[m][1], qs_f1);
+                block_c[m][2] = dot22_32_f(dq[2], a_ptr + m * a_stride, block_c[m][2], qs_f2);
+                block_c[m][3] = dot22_32_f(dq[3], a_ptr + m * a_stride, block_c[m][3], qs_f3);
+            }
+            a_ptr += 32;
+        }
+        k += 32;
+    }
+
+    while (k < rows_2 && k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            scales_idx++;
+            qs_f0 = scales[scales_idx][0];
+            qs_f1 = scales[scales_idx][1];
+            qs_f2 = scales[scales_idx][2];
+            qs_f3 = scales[scales_idx][3];
+            nextgroup += groupsize;
+        }
+
+        #pragma unroll
+        for (int j = 0; j < 2; j++)
+        {
+            int4 load_int4[1];
+            load_int4[0] = *((int4*) b_ptr); b_ptr += size_n;
+
+            half2 dq[4][8];
+            dequant_2bit_16(load_int4[0].x, dq[0], size_n);
+            dequant_2bit_16(load_int4[0].y, dq[1], size_n);
+            dequant_2bit_16(load_int4[0].z, dq[2], size_n);
+            dequant_2bit_16(load_int4[0].w, dq[3], size_n);
+
+            for (int m = 0; m < m_count; m++)
+            {
+                block_c[m][0] = dot22_16_f(dq[0], a_ptr + m * a_stride, block_c[m][0], qs_f0);
+                block_c[m][1] = dot22_16_f(dq[1], a_ptr + m * a_stride, block_c[m][1], qs_f1);
+                block_c[m][2] = dot22_16_f(dq[2], a_ptr + m * a_stride, block_c[m][2], qs_f2);
+                block_c[m][3] = dot22_16_f(dq[3], a_ptr + m * a_stride, block_c[m][3], qs_f3);
+            }
+
+            a_ptr += 16;
+        }
+        k += 32;
+    }
+
+    // Accumulate column sums in c
+
+    for (int m = 0; m < m_count; m++)
+    {
+        half2* out = (half2*)c_.item_ptr(offset_m + m, n);
+        half2 result01 = __halves2half2(__float2half_rn(block_c[m][0]), __float2half_rn(block_c[m][1]));
+        half2 result23 = __halves2half2(__float2half_rn(block_c[m][2]), __float2half_rn(block_c[m][3]));
+        atomicAdd(out    , result01);
+        atomicAdd(out + 1, result23);
+    }
+}
+
+fp_gemm_half_q_half_kernel pick_gemm_half_q_half_kernel(bool first_block, const int m_count)
+{
+    #if BLOCK_M_SIZE_MAX >= 1
+    if (m_count == 1) return gemm_half_q_half_kernel<true, 1>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 2
+    if (m_count == 2) return gemm_half_q_half_kernel<true, 2>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 3
+    if (m_count == 3) return gemm_half_q_half_kernel<true, 3>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 4
+    if (m_count == 4) return gemm_half_q_half_kernel<true, 4>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 5
+    if (m_count == 5) return gemm_half_q_half_kernel<true, 5>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 6
+    if (m_count == 6) return gemm_half_q_half_kernel<true, 6>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 7
+    if (m_count == 7) return gemm_half_q_half_kernel<true, 7>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 8
+    if (m_count == 8) return gemm_half_q_half_kernel<true, 8>;
+    #endif
+    return NULL;
+}
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel_gptq.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel_gptq.cuh
new file mode 100644
index 000000000..ebaa42d05
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_gemm_kernel_gptq.cuh
@@ -0,0 +1,219 @@
+#include "compat.cuh"
+
+__forceinline__ __device__ half2 dot22_8(half2(&dq)[4], const half* a_ptr, const half2 g_result)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 4; i++) result = __hfma2(dq[i], *a2_ptr++, result);
+    return __hadd2(result, g_result);
+}
+
+__forceinline__ __device__ float dot22_8_f(half2(&dq)[4], const half* a_ptr)
+{
+    half2 result = {};
+    const half2* a2_ptr = (const half2*)a_ptr;
+    #pragma unroll
+    for (int i = 0; i < 4; i++) result = __hfma2(dq[i], *a2_ptr++, result);
+    return __half2float(__low2half(result)) + __half2float(__high2half(result));
+}
+
+typedef void (*fp_gemm_half_q_half_gptq_kernel)
+(
+    const half*,
+    const uint32_t*,
+    const uint32_t*,
+    const half*,
+    half*,
+    const int,
+    const int,
+    const int,
+    const int,
+    const int,
+    const uint16_t*,
+    const int,
+    const bool
+);
+
+template <bool first_block, int m_count>
+__global__ void gemm_half_q_half_gptq_kernel
+(
+    const half* __restrict__ a,
+    const uint32_t* __restrict__ b_q_weight,
+    const uint32_t* __restrict__ b_gptq_qzeros,
+    const half* __restrict__ b_gptq_scales,
+    half* __restrict__ c,
+    const int size_m,
+    const int size_n,
+    const int size_k,
+    const int groups,
+    const int groupsize,
+    const uint16_t* __restrict__ b_q_perm,
+    const int rows_4,
+    const bool clear
+)
+{
+    MatrixView_half a_(a, size_m, size_k);
+    MatrixView_half_rw c_(c, size_m, size_n);
+    MatrixView_q4_row b_gptq_qzeros_(b_gptq_qzeros, groups, size_n);
+    MatrixView_half b_gptq_scales_(b_gptq_scales, groups, size_n);
+
+    int t = threadIdx.x;
+
+    // Block
+
+    int offset_n = blockIdx.x * BLOCK_KN_SIZE * 4;
+    int offset_m = blockIdx.y * m_count;
+    int offset_k = blockIdx.z * BLOCK_KN_SIZE;
+
+    int end_n = min(offset_n + BLOCK_KN_SIZE * 4, size_n);
+    int end_m = min(offset_m + m_count, size_m);
+    int end_k = min(offset_k + BLOCK_KN_SIZE, size_k);
+
+    int n = offset_n + t * 4;
+
+    // Preload block_a
+
+    __shared__ half block_a[m_count][BLOCK_KN_SIZE];
+
+    if (offset_k + t < end_k)
+    {
+        for (int m = 0; m < m_count; ++m)
+        {
+            const half* a_ptr = a_.item_ptr(offset_m + m, 0);
+            half* block_a_ptr = block_a[m];
+
+            half a0;
+            if (b_q_perm) a0 = a_ptr[b_q_perm[offset_k + t]];
+            else a0 = a_ptr[offset_k + t];
+            block_a_ptr[t] = a0;
+        }
+    }
+
+    // Zero output
+
+    if (n >= size_n) return;
+
+    if (clear && blockIdx.z == 0) // && (threadIdx.x & 1) == 0)
+    {
+        for (int m = 0; m < m_count; m++)
+            *((uint64_t*)c_.item_ptr(offset_m + m, n)) = 0;
+    }
+
+    __syncthreads();
+
+    // Find initial group
+
+    int group = offset_k / groupsize;
+    int nextgroup = offset_k + groupsize;
+
+    // a, b offset
+
+    int qk = offset_k / (32 / 4);
+
+    const uint32_t* b_ptr = b_q_weight + qk * size_n + n;
+    const half* a_ptr = &block_a[0][0];
+    int a_stride = BLOCK_KN_SIZE;
+
+    // Initial group
+
+    int zeros[4];
+    float scales[4];
+    half2 z1z16[4][2];
+    half2 y1y16[4][2];
+    b_gptq_qzeros_.item4(zeros, group, n);
+    b_gptq_scales_.item4_f(scales, group, n);
+    dequant_4bit_8_prep_zero(zeros[0] + 1, z1z16[0], y1y16[0]);
+    dequant_4bit_8_prep_zero(zeros[1] + 1, z1z16[1], y1y16[1]);
+    dequant_4bit_8_prep_zero(zeros[2] + 1, z1z16[2], y1y16[2]);
+    dequant_4bit_8_prep_zero(zeros[3] + 1, z1z16[3], y1y16[3]);
+
+//    __syncthreads();
+
+    // Column result
+
+    float block_c[m_count][4] = {};
+
+    // Dequantize and multiply
+
+    int k = offset_k;
+    while (k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            nextgroup += groupsize;
+            b_gptq_qzeros_.item4(zeros, group, n);
+            b_gptq_scales_.item4_f(scales, group, n);
+            dequant_4bit_8_prep_zero(zeros[0] + 1, z1z16[0], y1y16[0]);
+            dequant_4bit_8_prep_zero(zeros[1] + 1, z1z16[1], y1y16[1]);
+            dequant_4bit_8_prep_zero(zeros[2] + 1, z1z16[2], y1y16[2]);
+            dequant_4bit_8_prep_zero(zeros[3] + 1, z1z16[3], y1y16[3]);
+        }
+
+        #pragma unroll
+        for (int j = 0; j < 4; j++)
+        {
+            const int4* b_ptr4 = (int4*) b_ptr;
+            int4 load_int4 = *b_ptr4;
+
+            half2 dq[4][4];
+            dequant_4bit_8_gptq(load_int4.x, dq[0], z1z16[0], y1y16[0], size_n, false);
+            dequant_4bit_8_gptq(load_int4.y, dq[1], z1z16[1], y1y16[1], size_n, false);
+            dequant_4bit_8_gptq(load_int4.z, dq[2], z1z16[2], y1y16[2], size_n, false);
+            dequant_4bit_8_gptq(load_int4.w, dq[3], z1z16[3], y1y16[3], size_n, false);
+
+            #pragma unroll
+            for (int m = 0; m < m_count; m++)
+            {
+                block_c[m][0] = fma(dot22_8_f(dq[0], a_ptr + m * a_stride), scales[0], block_c[m][0]);
+                block_c[m][1] = fma(dot22_8_f(dq[1], a_ptr + m * a_stride), scales[1], block_c[m][1]);
+                block_c[m][2] = fma(dot22_8_f(dq[2], a_ptr + m * a_stride), scales[2], block_c[m][2]);
+                block_c[m][3] = fma(dot22_8_f(dq[3], a_ptr + m * a_stride), scales[3], block_c[m][3]);
+            }
+
+            b_ptr += size_n;
+            a_ptr += 8;
+        }
+
+        k += 32;
+    }
+
+    for (int m = 0; m < m_count; m++)
+    {
+        half2 *out = (half2*) c_.item_ptr(offset_m + m, n);
+        half2 result01 = __halves2half2(__float2half_rn(block_c[m][0]), __float2half_rn(block_c[m][1]));
+        half2 result23 = __halves2half2(__float2half_rn(block_c[m][2]), __float2half_rn(block_c[m][3]));
+        atomicAdd(out    , result01);
+        atomicAdd(out + 1, result23);
+    }
+}
+
+fp_gemm_half_q_half_gptq_kernel pick_gemm_half_q_half_gptq_kernel(bool first_block, const int m_count)
+{
+    #if BLOCK_M_SIZE_MAX >= 1
+    if (m_count == 1) return gemm_half_q_half_gptq_kernel<true, 1>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 2
+    if (m_count == 2) return gemm_half_q_half_gptq_kernel<true, 2>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 3
+    if (m_count == 3) return gemm_half_q_half_gptq_kernel<true, 3>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 4
+    if (m_count == 4) return gemm_half_q_half_gptq_kernel<true, 4>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 5
+    if (m_count == 5) return gemm_half_q_half_gptq_kernel<true, 5>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 6
+    if (m_count == 6) return gemm_half_q_half_gptq_kernel<true, 6>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 7
+    if (m_count == 7) return gemm_half_q_half_gptq_kernel<true, 7>;
+    #endif
+    #if BLOCK_M_SIZE_MAX >= 8
+    if (m_count == 8) return gemm_half_q_half_gptq_kernel<true, 8>;
+    #endif
+    return NULL;
+}
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cu b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cu
new file mode 100644
index 000000000..6aed74705
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cu
@@ -0,0 +1,623 @@
+#include "q_matrix.cuh"
+#include "matrix_view.cuh"
+#include "util.cuh"
+
+#include "quant/qdq_2.cuh"
+#include "quant/qdq_3.cuh"
+#include "quant/qdq_4.cuh"
+#include "quant/qdq_5.cuh"
+#include "quant/qdq_6.cuh"
+#include "quant/qdq_8.cuh"
+
+#define BLOCK_KN_SIZE 128
+
+#define THREADS_X 32
+#define THREADS_Y 32
+
+// Shuffle quantized data on load
+
+__global__ void shuffle_kernel
+(
+    uint32_t* __restrict__ b_q_weight,
+    const int size_k,
+    const int size_n,
+    const int rows_8,
+    const int rows_6,
+    const int rows_5,
+    const int rows_4,
+    const int rows_3,
+    const int rows_2
+)
+{
+    int n = blockIdx.x * THREADS_X + threadIdx.x;
+    if (n >= size_n) return;
+    int k = 0;
+    uint32_t* b_ptr = b_q_weight + n;
+    while (k < rows_8) { shuffle_8bit_4 (b_ptr, size_n); b_ptr += 1 * size_n; k +=  4; }
+    while (k < rows_6) { shuffle_6bit_16(b_ptr, size_n); b_ptr += 3 * size_n; k += 16; }
+    while (k < rows_5) { shuffle_5bit_32(b_ptr, size_n); b_ptr += 5 * size_n; k += 32; }
+    while (k < rows_4) { shuffle_4bit_8 (b_ptr, size_n); b_ptr += 1 * size_n; k +=  8; }
+    while (k < rows_3) { shuffle_3bit_32(b_ptr, size_n); b_ptr += 3 * size_n; k += 32; }
+    while (k < rows_2) { shuffle_2bit_16(b_ptr, size_n); b_ptr += 1 * size_n; k += 16; }
+}
+
+
+// QMatrix constructor
+
+QMatrix::QMatrix
+(
+    const int _device,
+    const int _height,
+    const int _width,
+    const int _groups,
+
+    uint32_t* _q_weight,
+    uint16_t* _q_perm,
+    uint16_t* _q_invperm,
+    uint32_t* _q_scale,
+    half* _q_scale_max,
+    uint16_t* _q_groups,
+
+    uint32_t* _gptq_qzeros,
+    half* _gptq_scales,
+    uint32_t* _gptq_g_idx,
+
+    half* _temp_dq
+) :
+    device(_device),
+    height(_height),
+    width(_width),
+    groups(_groups),
+    temp_dq(_temp_dq)
+{
+    cudaSetDevice(device);
+
+    failed = false;
+
+    cuda_q_weight = _q_weight;
+    cuda_q_perm = _q_perm;
+    cuda_q_invperm = _q_invperm;
+    cuda_q_scale = _q_scale;
+    cuda_q_scale_max = _q_scale_max;
+    cuda_q_groups = _q_groups;
+    cuda_gptq_qzeros = _gptq_qzeros;
+    cuda_gptq_scales = _gptq_scales;
+
+    is_gptq = (_gptq_qzeros != NULL);
+
+    groupsize = 1;
+    while (groupsize * groups < height) groupsize *= 2;
+
+    // Create group map
+
+    rows_8 = 0;
+    rows_6 = 0;
+    rows_5 = 0;
+    rows_4 = 0;
+    rows_3 = 0;
+    rows_2 = 0;
+
+    if (!is_gptq)
+    {
+        uint16_t* cpu_q_groups = (uint16_t*)calloc(groups * 2, sizeof(uint16_t));
+        cudaMemcpy(cpu_q_groups, cuda_q_groups, groups * 2 * sizeof(uint16_t), cudaMemcpyDeviceToHost);
+
+        for (int i = 0; i < groups; i++)
+        {
+            int bits = cpu_q_groups[i * 2];
+            if (bits == 8) rows_8 += groupsize;
+            if (bits == 6) rows_6 += groupsize;
+            if (bits == 5) rows_5 += groupsize;
+            if (bits == 4) rows_4 += groupsize;
+            if (bits == 3) rows_3 += groupsize;
+            if (bits == 2) rows_2 += groupsize;
+        }
+
+        free(cpu_q_groups);
+
+        rows_6 += rows_8;
+        rows_5 += rows_6;
+        rows_4 += rows_5;
+        rows_3 += rows_4;
+        rows_2 += rows_3;
+    }
+    else
+    {
+        rows_4 = height;
+        rows_3 = height;
+        rows_2 = height;
+
+        if (_gptq_g_idx)
+        {
+            if (!make_sequential(_gptq_g_idx))
+            {
+                failed = true;
+                //printf("FAIL\n");
+                return;
+            }
+        }
+    }
+
+    // Shuffle quantized data
+
+    dim3 blockDim, gridDim;
+    blockDim.x = THREADS_X;
+    blockDim.y = 1;
+    gridDim.x = DIVIDE(width, THREADS_X);
+    gridDim.y = 1;
+
+    shuffle_kernel<<<gridDim, blockDim>>>(cuda_q_weight, height, width, rows_8, rows_6, rows_5, rows_4, rows_3, rows_2);
+}
+
+QMatrix::~QMatrix()
+{
+}
+
+// Reconstruct b[k,n] (GPTQ)
+
+__global__ void reconstruct_gptq_kernel
+(
+    const uint32_t* __restrict__ b_q_weight,
+    const uint16_t* __restrict__ b_q_perm,
+    const uint32_t* __restrict__ b_gptq_qzeros,
+    const half* __restrict__ b_gptq_scales,
+    //const uint16_t* __restrict__ b_q_groups,
+    const int size_k,
+    const int size_n,
+    const int groupsize,
+    const int groups,
+    half* __restrict__ b,
+    const int rows_4
+)
+{
+    MatrixView_half_rw b_(b, size_k, size_n);
+    MatrixView_q4_row b_gptq_qzeros_(b_gptq_qzeros, groups, size_n);
+    MatrixView_half b_gptq_scales_(b_gptq_scales, groups, size_n);
+
+    int offset_k = BLOCK_KN_SIZE * blockIdx.y;
+    int offset_n = BLOCK_KN_SIZE * blockIdx.x * 4;
+
+    int end_k = min(offset_k + BLOCK_KN_SIZE, size_k);
+
+    // Preload remapping table
+
+    __shared__ uint16_t perm[BLOCK_KN_SIZE];
+    int t = threadIdx.x;
+
+    if (b_q_perm)
+    {
+        if (offset_k + t < size_k)
+            perm[t] = b_q_perm[offset_k + t];
+    }
+
+    // Column
+
+    int n = offset_n + t * 4;
+    if (n >= size_n) return;
+
+    // Find initial group
+
+    int group = offset_k / groupsize;
+    int nextgroup = offset_k + groupsize;
+
+    // b offset
+
+    int qk = offset_k / (32 / 4);
+
+    const uint32_t* b_ptr = b_q_weight + qk * size_n + n;
+
+    // Initial zeros/scale
+
+    int zeros[4];
+    half2 scales[4];
+    half2 z1z16[4][2];
+    half2 y1y16[4][2];
+    b_gptq_qzeros_.item4(zeros, group, n);
+    b_gptq_scales_.item4_h2(scales, group, n);
+    dequant_4bit_8_prep_zero(zeros[0] + 1, z1z16[0], y1y16[0]);
+    dequant_4bit_8_prep_zero(zeros[1] + 1, z1z16[1], y1y16[1]);
+    dequant_4bit_8_prep_zero(zeros[2] + 1, z1z16[2], y1y16[2]);
+    dequant_4bit_8_prep_zero(zeros[3] + 1, z1z16[3], y1y16[3]);
+
+    __syncthreads();
+
+    int k = offset_k;
+    int lk = 0;
+
+    while (k < end_k)
+    {
+        if (k == nextgroup)
+        {
+            group++;
+            nextgroup += groupsize;
+            b_gptq_qzeros_.item4(zeros, group, n);
+            b_gptq_scales_.item4_h2(scales, group, n);
+            dequant_4bit_8_prep_zero(zeros[0] + 1, z1z16[0], y1y16[0]);
+            dequant_4bit_8_prep_zero(zeros[1] + 1, z1z16[1], y1y16[1]);
+            dequant_4bit_8_prep_zero(zeros[2] + 1, z1z16[2], y1y16[2]);
+            dequant_4bit_8_prep_zero(zeros[3] + 1, z1z16[3], y1y16[3]);
+        }
+
+        for (int p = 0; p < 4; p++)
+        {
+            half2 dq[4][4];
+            const int4* b_ptr4 = (int4*) b_ptr;
+            int4 load_int4 = *b_ptr4;
+
+            dequant_4bit_8_gptq(load_int4.x, dq[0], z1z16[0], y1y16[0], size_n, false);
+            dequant_4bit_8_gptq(load_int4.y, dq[1], z1z16[1], y1y16[1], size_n, false);
+            dequant_4bit_8_gptq(load_int4.z, dq[2], z1z16[2], y1y16[2], size_n, false);
+            dequant_4bit_8_gptq(load_int4.w, dq[3], z1z16[3], y1y16[3], size_n, false);
+
+            b_ptr += size_n;
+            //half* dqh = (half*)dq;
+            if (b_q_perm)
+            {
+                for (int j = 0; j < 4; j++)
+                {
+                    for (int v = 0; v < 4; v++) dq[v][j] = __hmul2(scales[v], dq[v][j]);
+                    b_.set4(perm[lk++], n, __low2half(dq[0][j]), __low2half(dq[1][j]), __low2half(dq[2][j]), __low2half(dq[3][j]));
+                    b_.set4(perm[lk++], n, __high2half(dq[0][j]), __high2half(dq[1][j]), __high2half(dq[2][j]), __high2half(dq[3][j]));
+                }
+            }
+            else
+            {
+                for (int j = 0; j < 4; j++)
+                {
+                    for (int v = 0; v < 4; v++) dq[v][j] = __hmul2(scales[v], dq[v][j]);
+                    b_.set4(offset_k + lk++, n, __low2half(dq[0][j]), __low2half(dq[1][j]), __low2half(dq[2][j]), __low2half(dq[3][j]));
+                    b_.set4(offset_k + lk++, n, __high2half(dq[0][j]), __high2half(dq[1][j]), __high2half(dq[2][j]), __high2half(dq[3][j]));
+                }
+            }
+        }
+        k += 32;
+    }
+}
+
+
+// Reconstruct b[k,n]
+
+__global__ void reconstruct_kernel
+(
+    const uint32_t* __restrict__ b_q_weight,
+    const uint16_t* __restrict__ b_q_perm,
+    const uint32_t* __restrict__ b_q_scale,
+    const half* __restrict__ b_q_scale_max,
+    //const uint16_t* __restrict__ b_q_groups,
+    const int size_k,
+    const int size_n,
+    const int groupsize,
+    const int groups,
+    half* __restrict__ b,
+    const int rows_8,
+    const int rows_6,
+    const int rows_5,
+    const int rows_4,
+    const int rows_3,
+    const int rows_2
+)
+{
+    MatrixView_half_rw b_(b, size_k, size_n);
+    MatrixView_q4_row b_q_scale_(b_q_scale, groups, size_n);
+
+    int offset_k = BLOCK_KN_SIZE * blockIdx.y;
+    int offset_n = BLOCK_KN_SIZE * blockIdx.x;
+
+    // Preload remapping table
+
+    int t = threadIdx.x;
+    __shared__ uint16_t perm[BLOCK_KN_SIZE];
+    if (offset_k + t < size_k)
+        perm[t] = b_q_perm[offset_k + t];
+
+    // Column
+
+    int n = offset_n + t;
+    if (n >= size_n) return;
+
+    // Find initial group
+
+    int group = offset_k / groupsize;
+
+    int pre_rows_8 = min(rows_8, offset_k);
+    int pre_rows_6 = offset_k > rows_8 ? min(rows_6, offset_k) - rows_8 : 0;
+    int pre_rows_5 = offset_k > rows_6 ? min(rows_5, offset_k) - rows_6 : 0;
+    int pre_rows_4 = offset_k > rows_5 ? min(rows_4, offset_k) - rows_5 : 0;
+    int pre_rows_3 = offset_k > rows_4 ? min(rows_3, offset_k) - rows_4 : 0;
+    int pre_rows_2 = offset_k > rows_3 ? min(rows_2, offset_k) - rows_3 : 0;
+    int qk = 0;
+    qk += pre_rows_8 / 32 * 8;
+    qk += pre_rows_6 / 32 * 6;
+    qk += pre_rows_5 / 32 * 5;
+    qk += pre_rows_4 / 32 * 4;
+    qk += pre_rows_3 / 32 * 3;
+    qk += pre_rows_2 / 32 * 2;
+
+    const uint32_t* b_ptr = b_q_weight + qk * size_n + n;
+
+    half qs_h = dq_scale(b_q_scale_.item(group, n), b_q_scale_max[group]);
+    half2 qs_h2 = __halves2half2(qs_h, qs_h);
+    int nextgroup = offset_k + groupsize;
+
+    int end_k = min(offset_k + BLOCK_KN_SIZE, size_k);
+    int k = offset_k;
+    int lk = 0;
+
+    __syncthreads();
+
+    while (k < rows_8 && k < end_k)
+    {
+        if (k == nextgroup) { group++; qs_h = dq_scale(b_q_scale_.item(group, n), b_q_scale_max[group]); nextgroup += groupsize; qs_h2 = __halves2half2(qs_h, qs_h); }
+        for (int p = 0; p < 4; p++)
+        {
+            half2 dq[4];
+            uint32_t q_0 = *b_ptr; b_ptr += size_n;
+            uint32_t q_1 = *b_ptr; b_ptr += size_n;
+            dequant_8bit_8(q_0, q_1, dq, size_n);
+            for (int j = 0; j < 4; j++) dq[j] = __hmul2(dq[j], qs_h2);
+            half* dqh = (half*) dq;
+            for (int j = 0; j < 8; j++) b_.set(perm[lk++], n, dqh[j]);
+        }
+        k += 32;
+    }
+
+    while (k < rows_6 && k < end_k)
+    {
+        if (k == nextgroup) { group++; qs_h = dq_scale(b_q_scale_.item(group, n), b_q_scale_max[group]); nextgroup += groupsize; qs_h2 = __halves2half2(qs_h, qs_h); }
+        for (int p = 0; p < 2; p++)
+        {
+            half2 dq[8];
+            uint32_t q_0 = *b_ptr; b_ptr += size_n;
+            uint32_t q_1 = *b_ptr; b_ptr += size_n;
+            uint32_t q_2 = *b_ptr; b_ptr += size_n;
+            dequant_6bit_16(q_0, q_1, q_2, dq, size_n);
+            for (int j = 0; j < 8; j++) dq[j] = __hmul2(dq[j], qs_h2);
+            half* dqh = (half*) dq;
+            for (int j = 0; j < 16; j++) b_.set(perm[lk++], n, dqh[j]);
+        }
+        k += 32;
+    }
+
+    while (k < rows_5 && k < end_k)
+    {
+        if (k == nextgroup) { group++; qs_h = dq_scale(b_q_scale_.item(group, n), b_q_scale_max[group]); nextgroup += groupsize; qs_h2 = __halves2half2(qs_h, qs_h); }
+        for (int p = 0; p < 1; p++)
+        {
+            half2 dq[16];
+            uint32_t q_0 = *b_ptr; b_ptr += size_n;
+            uint32_t q_1 = *b_ptr; b_ptr += size_n;
+            uint32_t q_2 = *b_ptr; b_ptr += size_n;
+            uint32_t q_3 = *b_ptr; b_ptr += size_n;
+            uint32_t q_4 = *b_ptr; b_ptr += size_n;
+            dequant_5bit_32(q_0, q_1, q_2, q_3, q_4, dq, size_n);
+            for (int j = 0; j < 16; j++) dq[j] = __hmul2(dq[j], qs_h2);
+            half* dqh = (half*) dq;
+            for (int j = 0; j < 32; j++) b_.set(perm[lk++], n, dqh[j]);
+        }
+        k += 32;
+    }
+
+    while (k < rows_4 && k < end_k)
+    {
+        if (k == nextgroup) { group++; qs_h = dq_scale(b_q_scale_.item(group, n), b_q_scale_max[group]); nextgroup += groupsize; qs_h2 = __halves2half2(qs_h, qs_h); }
+        for (int p = 0; p < 4; p++)
+        {
+            half2 dq[4];
+            uint32_t q_0 = *b_ptr; b_ptr += size_n;
+            dequant_4bit_8(q_0, dq, size_n);
+            for (int j = 0; j < 4; j++) dq[j] = __hmul2(dq[j], qs_h2);
+            half* dqh = (half*) dq;
+            for (int j = 0; j < 8; j++) b_.set(perm[lk++], n, dqh[j]);
+        }
+        k += 32;
+    }
+
+    while (k < rows_3 && k < end_k)
+    {
+        if (k == nextgroup) { group++; qs_h = dq_scale(b_q_scale_.item(group, n), b_q_scale_max[group]); nextgroup += groupsize; qs_h2 = __halves2half2(qs_h, qs_h); }
+        for (int p = 0; p < 1; p++)
+        {
+            half2 dq[16];
+            uint32_t q_0 = *b_ptr; b_ptr += size_n;
+            uint32_t q_1 = *b_ptr; b_ptr += size_n;
+            uint32_t q_2 = *b_ptr; b_ptr += size_n;
+            dequant_3bit_32(q_0, q_1, q_2, dq, size_n);
+            for (int j = 0; j < 16; j++) dq[j] = __hmul2(dq[j], qs_h2);
+            half* dqh = (half*) dq;
+            for (int j = 0; j < 32; j++) b_.set(perm[lk++], n, dqh[j]);
+        }
+        k += 32;
+    }
+
+    while (k < rows_2 && k < end_k)
+    {
+        if (k == nextgroup) { group++; qs_h = dq_scale(b_q_scale_.item(group, n), b_q_scale_max[group]); nextgroup += groupsize; qs_h2 = __halves2half2(qs_h, qs_h); }
+        for (int p = 0; p < 2; p++)
+        {
+            half2 dq[8];
+            uint32_t q_0 = *b_ptr; b_ptr += size_n;
+            dequant_2bit_16(q_0, dq, size_n);
+            for (int j = 0; j < 8; j++) dq[j] = __hmul2(dq[j], qs_h2);
+            half* dqh = (half*) dq;
+            for (int j = 0; j < 16; j++) b_.set(perm[lk++], n, dqh[j]);
+        }
+        k += 32;
+    }
+}
+
+void QMatrix::reconstruct(half* out)
+{
+    dim3 blockDim, gridDim;
+    blockDim.x = BLOCK_KN_SIZE;
+    blockDim.y = 1;
+    gridDim.y = DIVIDE(height, BLOCK_KN_SIZE);
+
+    if (!is_gptq)
+    {
+        gridDim.x = DIVIDE(width, BLOCK_KN_SIZE);
+        reconstruct_kernel<<<gridDim, blockDim>>>
+        (
+            cuda_q_weight,
+            cuda_q_perm,
+            cuda_q_scale,
+            cuda_q_scale_max,
+            //cuda_q_groups,
+            height,
+            width,
+            groupsize,
+            groups,
+            out,
+            rows_8,
+            rows_6,
+            rows_5,
+            rows_4,
+            rows_3,
+            rows_2
+        );
+    }
+    else
+    {
+        gridDim.x = DIVIDE(width, BLOCK_KN_SIZE * 4);
+        reconstruct_gptq_kernel<<<gridDim, blockDim>>>
+        (
+            cuda_q_weight,
+            cuda_q_perm,
+            cuda_gptq_qzeros,
+            cuda_gptq_scales,
+            //const uint16_t* __restrict__ b_q_groups,
+            height,
+            width,
+            groupsize,
+            groups,
+            out,
+            rows_4
+        );
+    }
+}
+
+__global__ void make_sequential_kernel
+(
+    const uint32_t* __restrict__ w,
+    uint32_t* __restrict__ w_new,
+    const uint16_t* __restrict__ q_perm,
+    const int w_height,
+    const int w_width
+)
+{
+    const uint64_t* w2 = (uint64_t*) w;
+    uint64_t* w_new2 = (uint64_t*) w_new;
+    int w2_stride = w_width >> 1;
+
+    int w2_column = THREADS_X * blockIdx.x + threadIdx.x;
+    if (w2_column >= w2_stride) return;
+
+    int w_new2_row = blockIdx.y;
+
+    int q_perm_idx = w_new2_row << 3;
+
+    uint64_t dst = 0;
+
+    #pragma unroll
+    for (int i = 0; i < 8; i++)
+    {
+        int source_row = q_perm[q_perm_idx++];
+
+        int w2_row = source_row >> 3;
+        int w2_subrow = source_row & 0x07;
+        int w2_row_shift = w2_subrow << 2;
+        int wnew2_row_shift = i << 2;
+
+        uint64_t src = w2[w2_row * w2_stride + w2_column];
+        src >>= w2_row_shift;
+        src &= 0x0000000f0000000f;
+        src <<= wnew2_row_shift;
+        dst |= src;
+    }
+
+    w_new2[w_new2_row * w2_stride + w2_column] = dst;
+}
+
+bool QMatrix::make_sequential(const uint32_t* cpu_g_idx)
+{
+    uint32_t* cuda_new_qweight = NULL;
+    cudaError_t err = cudaMalloc(&cuda_new_qweight, height / 8 * width * sizeof(uint32_t));
+    if (err != cudaSuccess) {
+        cudaError_t cuda_status = cudaGetLastError(); // Clear error
+        return false;
+    }
+
+    uint32_t* cpu_g_idx_map = (uint32_t*) calloc(groups, sizeof(uint32_t));
+    uint32_t* cpu_x_map = (uint32_t*) malloc(height * sizeof(uint32_t));
+    uint32_t* cpu_x_map_inv = (uint32_t*) malloc(height * sizeof(uint32_t));
+
+    // Group histogram
+
+    for (int i = 0; i < height; i++) cpu_g_idx_map[cpu_g_idx[i]]++;
+
+    // Group map
+
+    for (int i = 0, acc = 0; i < groups; i++)
+    {
+        short tmp = cpu_g_idx_map[i];
+        cpu_g_idx_map[i] = acc;
+        acc += tmp;
+    }
+
+    // X map (inverse)
+
+    for (int row = 0; row < height; row++)
+    {
+        uint32_t target_group = cpu_g_idx[row];
+        uint32_t target_row = cpu_g_idx_map[target_group];
+        cpu_g_idx_map[target_group]++;
+        cpu_x_map_inv[row] = target_row;
+    }
+
+    // X map
+
+    for (int row = 0; row < height; row++) cpu_x_map[cpu_x_map_inv[row]] = row;
+
+    // Reduce to uint16_t
+
+    uint16_t* cpu_x_map16 = (uint16_t*)cpu_x_map;
+    uint16_t* cpu_x_map_inv16 = (uint16_t*)cpu_x_map_inv;
+    for (int row = 0; row < height; row++) cpu_x_map16[row] = (uint16_t) cpu_x_map[row];
+    for (int row = 0; row < height; row++) cpu_x_map_inv16[row] = (uint16_t) cpu_x_map_inv[row];
+
+    // Move to CUDA
+
+    cudaMemcpyAsync(cuda_q_perm, cpu_x_map16, height * sizeof(uint16_t), cudaMemcpyHostToDevice);
+    cudaMemcpyAsync(cuda_q_invperm, cpu_x_map_inv16, height * sizeof(uint16_t), cudaMemcpyHostToDevice);
+
+    // Rearrange rows in w
+
+    dim3 blockDim, gridDim;
+    blockDim.x = THREADS_X;
+    blockDim.y = 1;
+    gridDim.x = DIVIDE(width, THREADS_X);
+    gridDim.y = height / 8;
+
+    make_sequential_kernel<<<gridDim, blockDim>>>
+    (
+        cuda_q_weight,
+        cuda_new_qweight,
+        cuda_q_perm,
+        height / 8,
+        width
+    );
+
+    // Replace qweights
+
+    cudaMemcpyAsync(cuda_q_weight, cuda_new_qweight, height / 8 * width * sizeof(uint32_t), cudaMemcpyDeviceToDevice);
+
+    // Cleanup
+
+    cudaDeviceSynchronize();
+
+    cudaFree(cuda_new_qweight);
+    free(cpu_g_idx_map);
+    free(cpu_x_map);
+    free(cpu_x_map_inv);
+
+    return true;
+}
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cuh
new file mode 100644
index 000000000..dda83a4f3
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/q_matrix.cuh
@@ -0,0 +1,73 @@
+#ifndef _q_matrix_cuh
+#define _q_matrix_cuh
+
+#include <cuda_runtime.h>
+#include <cuda_fp16.h>
+#include <cstdint>
+#include <cstdio>
+
+#define MAX_SUPERGROUPS 16
+
+class QMatrix
+{
+public:
+
+    int device;
+    bool is_gptq;
+
+    int height;
+    int width;
+    int groups;
+    int groupsize;
+
+    int rows_8;
+    int rows_6;
+    int rows_5;
+    int rows_4;
+    int rows_3;
+    int rows_2;
+
+    uint32_t* cuda_q_weight = NULL;
+    uint16_t* cuda_q_perm = NULL;
+    uint16_t* cuda_q_invperm = NULL;
+    uint32_t* cuda_q_scale = NULL;
+    half* cuda_q_scale_max = NULL;
+    uint16_t* cuda_q_groups = NULL;
+    uint32_t* cuda_gptq_qzeros = NULL;
+    half* cuda_gptq_scales = NULL;
+
+    half* temp_dq;
+
+    bool failed;
+
+    QMatrix
+    (
+        const int _device,
+        const int _height,
+        const int _width,
+        const int _groups,
+
+        uint32_t* _q_weight,
+        uint16_t* _q_perm,
+        uint16_t* _q_invperm,
+        uint32_t* _q_scale,
+        half* _q_scale_max,
+        uint16_t* _q_groups,
+
+        uint32_t* _gptq_qzeros,
+        half* _gptq_scales,
+        uint32_t* _gptq_g_idx,
+
+        half* _temp_dq
+    );
+
+    ~QMatrix();
+
+    void reconstruct(half* out);
+    bool make_sequential(const uint32_t* cpu_g_idx);
+
+private:
+
+};
+
+#endif
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_2.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_2.cuh
new file mode 100644
index 000000000..3beaeefa9
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_2.cuh
@@ -0,0 +1,103 @@
+#ifndef _qdq_2_cuh
+#define _qdq_2_cuh
+
+#include "qdq_util.cuh"
+#include "../../config.h"
+
+#if QMODE_2BIT == 1
+
+// Permutation:
+//
+// ffddbb99 77553311  eeccaa88 66442200
+
+__forceinline__ __device__ void shuffle_2bit_16
+(
+    uint32_t* q,
+    int stride
+)
+{
+    uint32_t qa = q[0];
+    uint32_t qb = 0;
+
+    #pragma unroll
+    for (int i = 0; i < 8; i++)
+    {
+        uint32_t qa0 = qa & 0x03;
+        uint32_t qa1 = (qa & 0x0c) >> 2;
+        qa >>= 4;
+        qb |= (qa1 << (i * 2 + 16));
+        qb |= (qa0 << (i * 2));
+    }
+    q[0] = qb;
+}
+
+__forceinline__ __device__ void dequant_2bit_16
+(
+    const uint32_t q_0,
+    half2 (&dq)[8],
+    int stride
+)
+{
+    const uint32_t c0 = 0x64006400;
+    const half y4_  = __float2half_rn(1.0f /  4.0f);
+    const half y16_ = __float2half_rn(1.0f / 16.0f);
+    const half y64_ = __float2half_rn(1.0f / 64.0f);
+    const half2 y4  = __halves2half2(y4_,  y4_);
+    const half2 y16 = __halves2half2(y16_, y16_);
+    const half2 y64 = __halves2half2(y64_, y64_);
+    const half z1_  = __float2half_rn(-1024.0f         - 2.0f);
+    const half z4_  = __float2half_rn(-1024.0f /  4.0f - 2.0f);
+    const half z16_ = __float2half_rn(-1024.0f / 16.0f - 2.0f);
+    const half z64_ = __float2half_rn(-1024.0f / 64.0f - 2.0f);
+    const half2 z1  = __halves2half2(z1_,  z1_);
+    const half2 z4  = __halves2half2(z4_,  z4_);
+    const half2 z16 = __halves2half2(z16_, z16_);
+    const half2 z64 = __halves2half2(z64_, z64_);
+
+    uint32_t qa = q_0;
+    half2_uint32 q0((qa & 0x00030003) | c0); // half2(q[ 0], q[ 1])      + 1024
+    half2_uint32 q1((qa & 0x000c000c) | c0); // half2(q[ 2], q[ 3]) *  4 + 1024
+    half2_uint32 q2((qa & 0x00300030) | c0); // half2(q[ 4], q[ 5]) * 16 + 1024
+    half2_uint32 q3((qa & 0x00c000c0) | c0); // half2(q[ 6], q[ 7]) * 64 + 1024
+    qa >>= 8;
+    half2_uint32 q4((qa & 0x00030003) | c0); // half2(q[ 8], q[ 8])      + 1024
+    half2_uint32 q5((qa & 0x000c000c) | c0); // half2(q[10], q[11]) *  4 + 1024
+    half2_uint32 q6((qa & 0x00300030) | c0); // half2(q[12], q[13]) * 16 + 1024
+    half2_uint32 q7((qa & 0x00c000c0) | c0); // half2(q[14], q[15]) * 64 + 1024
+
+    dq[0] = __hadd2(q0.as_half2, z1);
+    dq[1] = __hfma2(q1.as_half2, y4,  z4);
+    dq[2] = __hfma2(q2.as_half2, y16, z16);
+    dq[3] = __hfma2(q3.as_half2, y64, z64);
+    dq[4] = __hadd2(q4.as_half2, z1);
+    dq[5] = __hfma2(q5.as_half2, y4,  z4);
+    dq[6] = __hfma2(q6.as_half2, y16, z16);
+    dq[7] = __hfma2(q7.as_half2, y64, z64);
+}
+
+#else
+
+__forceinline__ __device__ void shuffle_2bit_16
+(
+    uint32_t* q,
+    int stride
+)
+{
+}
+
+__forceinline__ __device__ void dequant_2bit_16
+(
+    const uint32_t q_0,
+    half2 (&dq)[8],
+    int stride
+)
+{
+    half dqh[16];
+    for (int i = 0; i < 16; i++) dqh[i] = dq_ns(exb(q_0, i * 2, 0x03), 2);
+
+    for (int i = 0; i < 8; i++) dq[i] = __halves2half2(dqh[i * 2], dqh[i * 2 + 1]);
+}
+
+#endif
+
+#endif
\ No newline at end of file
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_3.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_3.cuh
new file mode 100644
index 000000000..101173763
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_3.cuh
@@ -0,0 +1,169 @@
+#ifndef _qdq_3_cuh
+#define _qdq_3_cuh
+
+#include "qdq_util.cuh"
+#include "../../config.h"
+
+#if QMODE_3BIT == 1
+
+// Permutation:
+//
+// v9997775 55333111  u8886664 44222000  (u, v lsb)
+// vjjjhhhf ffdddbbb  uiiiggge eecccaaa
+// vtttrrrp ppnnnlll  usssqqqo oommmkkk
+
+__forceinline__ __device__ void shuffle_3bit_32
+(
+    uint32_t* q,
+    int stride
+)
+{
+    uint32_t qa = q[0 * stride];
+    uint32_t qb = q[1 * stride];
+    uint32_t qc = q[2 * stride];
+
+    // qa: aa999888 77766655  54443332 22111000
+    // qb: lkkkjjji iihhhggg  fffeeedd dcccbbba
+    // qc: vvvuuutt tsssrrrq  qqpppooo nnnmmmll
+
+    uint32_t qd = qc >> 26;
+    qc <<= 4;
+    qc |= qb >> 28;
+    qb <<= 2;
+    qb |= qa >> 30;
+
+    // qa: ..999888 77766655  54443332 22111000
+    // qb: ..jjjiii hhhgggff  feeedddc ccbbbaaa
+    // qc: ..tttsss rrrqqqpp  pooonnnm mmlllkkk
+    // qd:                               vvvuuu
+
+    uint32_t za = 0;
+    uint32_t zb = 0;
+    uint32_t zc = 0;
+
+    for (int i = 0; i < 5; i++) { uint32_t t0 = qa & 0x07; uint32_t t1 = (qa & 0x38) >> 3; qa >>= 6; za |= (t0 << (i * 3)); za |= (t1 << (i * 3 + 16)); }
+    for (int i = 0; i < 5; i++) { uint32_t t0 = qb & 0x07; uint32_t t1 = (qb & 0x38) >> 3; qb >>= 6; zb |= (t0 << (i * 3)); zb |= (t1 << (i * 3 + 16)); }
+    for (int i = 0; i < 5; i++) { uint32_t t0 = qc & 0x07; uint32_t t1 = (qc & 0x38) >> 3; qc >>= 6; zc |= (t0 << (i * 3)); zc |= (t1 << (i * 3 + 16)); }
+
+    // za:  9997775 55333111   8886664 44222000
+    // zb:  jjjhhhf ffdddbbb   iiiggge eecccaaa
+    // zc:  tttrrrp ppnnnlll   sssqqqo oommmkkk
+    // qd:                               vvvuuu
+
+    za |= ((qd & 0x01) >> 0) << 15;
+    zb |= ((qd & 0x02) >> 1) << 15;
+    zc |= ((qd & 0x04) >> 2) << 15;
+    za |= ((qd & 0x08) >> 3) << 31;
+    zb |= ((qd & 0x10) >> 4) << 31;
+    zc |= ((qd & 0x20) >> 5) << 31;
+
+    // za: v9997775 55333111  u8886664 44222000  (u, v lsb)
+    // zb: vjjjhhhf ffdddbbb  uiiiggge eecccaaa
+    // zc: vtttrrrp ppnnnlll  usssqqqo oommmkkk
+
+    q[0 * stride] = za;
+    q[1 * stride] = zb;
+    q[2 * stride] = zc;
+}
+
+__forceinline__ __device__ void dequant_3bit_32
+(
+    const uint32_t q_0,
+    const uint32_t q_1,
+    const uint32_t q_2,
+    half2 (&dq)[16],
+    int stride
+)
+{
+    const uint32_t c0 = 0x64006400;
+    const half y8_  = __float2half_rn(1.0f /  8.0f);
+    const half y64_ = __float2half_rn(1.0f / 64.0f);
+    const half2 y8  = __halves2half2(y8_,  y8_);
+    const half2 y64 = __halves2half2(y64_, y64_);
+    const half z1_  = __float2half_rn(-1024.0f         - 4.0f);
+    const half z8_  = __float2half_rn(-1024.0f /  8.0f - 4.0f);
+    const half z64_ = __float2half_rn(-1024.0f / 64.0f - 4.0f);
+    const half2 z1  = __halves2half2(z1_,  z1_);
+    const half2 z8  = __halves2half2(z8_,  z8_);
+    const half2 z64 = __halves2half2(z64_, z64_);
+
+    uint32_t qa = q_0;
+    uint32_t qb = q_1;
+    uint32_t qc = q_2;
+
+    half2_uint32 q0((qa & 0x00070007) | c0); // half2(q[ 0], q[ 1])      + 1024
+    half2_uint32 q1((qa & 0x00380038) | c0); // half2(q[ 2], q[ 3]) *  8 + 1024
+    qa >>= 6;
+    half2_uint32 q2((qa & 0x00070007) | c0); // half2(q[ 4], q[ 5])      + 1024
+    half2_uint32 q3((qa & 0x00380038) | c0); // half2(q[ 6], q[ 7]) *  8 + 1024
+    half2_uint32 q4((qa & 0x01c001c0) | c0); // half2(q[ 8], q[ 9]) * 64 + 1024
+    qa >>= 9;
+    qa &= 0x00010001;
+    half2_uint32 q5((qb & 0x00070007) | c0); // half2(q[10], q[11])      + 1024
+    half2_uint32 q6((qb & 0x00380038) | c0); // half2(q[12], q[13]) *  8 + 1024
+    qb >>= 6;
+    half2_uint32 q7((qb & 0x00070007) | c0); // half2(q[14], q[15])      + 1024
+    half2_uint32 q8((qb & 0x00380038) | c0); // half2(q[16], q[17]) *  8 + 1024
+    half2_uint32 q9((qb & 0x01c001c0) | c0); // half2(q[18], q[19]) * 64 + 1024
+    qb >>= 8;
+    qb &= 0x00020002;
+    half2_uint32 q10((qc & 0x00070007) | c0); // half2(q[20], q[21])      + 1024
+    half2_uint32 q11((qc & 0x00380038) | c0); // half2(q[22], q[23]) *  8 + 1024
+    qc >>= 6;
+    half2_uint32 q12((qc & 0x00070007) | c0); // half2(q[24], q[25])      + 1024
+    half2_uint32 q13((qc & 0x00380038) | c0); // half2(q[26], q[27]) *  8 + 1024
+    half2_uint32 q14((qc & 0x01c001c0) | c0); // half2(q[28], q[29]) * 64 + 1024
+    qc >>= 7;
+    qc &= 0x00040004;
+    half2_uint32 q15((qa | qb | qc) | c0);
+
+    dq[ 0] = __hadd2( q0.as_half2, z1);
+    dq[ 1] = __hfma2( q1.as_half2, y8,  z8);
+    dq[ 2] = __hadd2( q2.as_half2, z1);
+    dq[ 3] = __hfma2( q3.as_half2, y8,  z8);
+    dq[ 4] = __hfma2( q4.as_half2, y64, z64);
+    dq[ 5] = __hadd2( q5.as_half2, z1);
+    dq[ 6] = __hfma2( q6.as_half2, y8,  z8);
+    dq[ 7] = __hadd2( q7.as_half2, z1);
+    dq[ 8] = __hfma2( q8.as_half2, y8,  z8);
+    dq[ 9] = __hfma2( q9.as_half2, y64, z64);
+    dq[10] = __hadd2(q10.as_half2, z1);
+    dq[11] = __hfma2(q11.as_half2, y8,  z8);
+    dq[12] = __hadd2(q12.as_half2, z1);
+    dq[13] = __hfma2(q13.as_half2, y8,  z8);
+    dq[14] = __hfma2(q14.as_half2, y64, z64);
+    dq[15] = __hadd2(q15.as_half2, z1);
+}
+
+#else
+
+__forceinline__ __device__ void shuffle_3bit_32
+(
+    uint32_t* q,
+    int stride
+)
+{
+}
+
+__forceinline__ __device__ void dequant_3bit_32
+(
+    const uint32_t q_0,
+    const uint32_t q_1,
+    const uint32_t q_2,
+    half2 (&dq)[16],
+    int stride
+)
+{
+    half dqh[32];
+    for (int i = 0; i < 10; i++) dqh[     i] = dq_ns(exb(     q_0, i * 3    , 0x07), 4);
+                                 dqh[10    ] = dq_ns(exb(q_1, q_0,        30, 0x07), 4);
+    for (int i = 0; i < 10; i++) dqh[11 + i] = dq_ns(exb(     q_1, i * 3 + 1, 0x07), 4);
+                                 dqh[21    ] = dq_ns(exb(q_2, q_1,        31, 0x07), 4);
+    for (int i = 0; i < 10; i++) dqh[22 + i] = dq_ns(exb(     q_2, i * 3 + 2, 0x07), 4);
+
+    for (int i = 0; i < 16; i++) dq[i] = __halves2half2(dqh[i * 2], dqh[i * 2 + 1]);
+}
+
+#endif
+
+#endif
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_4.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_4.cuh
new file mode 100644
index 000000000..5fb070d06
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_4.cuh
@@ -0,0 +1,227 @@
+#ifndef _qdq_4_cuh
+#define _qdq_4_cuh
+
+#include "qdq_util.cuh"
+#include "../../config.h"
+
+#if QMODE_4BIT == 1
+
+// Permutation:
+//
+// 77775555 33331111  66664444 22220000
+
+__forceinline__ __device__ void shuffle_4bit_8
+(
+    uint32_t* q,
+    int stride
+)
+{
+    uint32_t qa = q[0];
+    uint32_t qb = 0;
+
+    #pragma unroll
+    for (int i = 0; i < 4; i++)
+    {
+        uint32_t qa0 = qa & 0x0f;
+        uint32_t qa1 = (qa & 0xf0) >> 4;
+        qa >>= 8;
+        qb |= (qa1 << (i * 4 + 16));
+        qb |= (qa0 << (i * 4));
+    }
+    q[0] = qb;
+}
+
+__forceinline__ __device__ void dequant_4bit_8
+(
+    const uint32_t q_0,
+    half2 (&dq)[4],
+    int stride
+)
+{
+    const uint32_t c0 = 0x64006400;
+    const half y16_ = __float2half_rn(1.0f / 16.0f);
+    const half2 y16 = __halves2half2(y16_, y16_);
+    const half z1_  = __float2half_rn(-1024.0f         - 8.0f);
+    const half z16_ = __float2half_rn(-1024.0f / 16.0f - 8.0f);
+    const half2 z1  = __halves2half2(z1_,  z1_);
+    const half2 z16 = __halves2half2(z16_, z16_);
+
+    uint32_t qa = q_0;
+    half2_uint32 q0((qa & 0x000f000f) | c0); // half2(q[ 0], q[ 1])      + 1024
+    half2_uint32 q1((qa & 0x00f000f0) | c0); // half2(q[ 2], q[ 3]) * 16 + 1024
+    qa >>= 8;
+    half2_uint32 q2((qa & 0x000f000f) | c0); // half2(q[ 4], q[ 5])      + 1024
+    half2_uint32 q3((qa & 0x00f000f0) | c0); // half2(q[ 6], q[ 7]) * 16 + 1024
+
+    dq[0] = __hadd2(q0.as_half2, z1);
+    dq[1] = __hfma2(q1.as_half2, y16, z16);
+    dq[2] = __hadd2(q2.as_half2, z1);
+    dq[3] = __hfma2(q3.as_half2, y16, z16);
+}
+
+__forceinline__ __device__ void dequant_4bit_8_prep_zero_scale
+(
+    const uint32_t zero,
+    const half scale,
+    half2 (&z1z16)[2],
+    half2 (&y1y16)[2]
+)
+{
+    half_uint16 z1(0xe400 | zero); // half(-1024.0f - zero);
+    half z16 = __hsub(__int2half_rn(-64), __int2half_rn(zero));
+
+    half2 scale2 = __half2half2(scale);
+
+    z1z16[0] = __hmul2(scale2, __half2half2(z1.as_half));
+    z1z16[1] = __hmul2(scale2, __half2half2(z16));
+
+    const half y1 = __float2half_rn(1.0f);
+    const half y16 = __float2half_rn(1.0f / 16.0f);
+
+    y1y16[0] = __hmul2(scale2, __half2half2(y1));
+    y1y16[1] = __hmul2(scale2, __half2half2(y16));
+}
+
+__forceinline__ __device__ void dequant_4bit_8_prep_zero
+(
+    const uint32_t zero,
+    half2(&z1z16)[2],
+    half2(&y1y16)[2]
+)
+{
+    half_uint16 z1(0xe400 | zero); // half(-1024.0f - zero);
+    half z16 = __hsub(__int2half_rn(-64), __int2half_rn(zero));
+
+    z1z16[0] = __half2half2(z1.as_half);
+    z1z16[1] = __half2half2(z16);
+
+    const half y1 = __float2half_rn(1.0f);
+    const half y16 = __float2half_rn(1.0f / 16.0f);
+
+    y1y16[0] = __half2half2(y1);
+    y1y16[1] = __half2half2(y16);
+}
+
+
+__forceinline__ __device__ void dequant_4bit_8_gptq
+(
+    const uint32_t q_0,
+    half2 (&dq)[4],
+    half2 (&z1z16)[2],
+    half2 (&y1y16)[2],
+    int stride,
+    bool scaled
+)
+{
+    const uint32_t c0 = 0x64006400;
+
+    uint32_t qa = q_0;
+    half2_uint32 q0((qa & 0x000f000f) | c0); // half2( q[0]      + 1024, q[1]      + 1024 )
+    half2_uint32 q1((qa & 0x00f000f0) | c0); // half2( q[2] * 16 + 1024, q[3] * 16 + 1024 )
+    qa >>= 8;
+    half2_uint32 q2((qa & 0x000f000f) | c0); // half2( q[4]      + 1024, q[5]      + 1024 )
+    half2_uint32 q3((qa & 0x00f000f0) | c0); // half2( q[6] * 16 + 1024, q[7] * 16 + 1024 )
+
+    if (scaled)
+    {
+        dq[0] = __hfma2(q0.as_half2, y1y16[0], z1z16[0]);  // half2( q[0] * s - z * s, q[1] * s - z * s)
+        dq[1] = __hfma2(q1.as_half2, y1y16[1], z1z16[1]);  // half2( q[2] * s - z * s, q[3] * s - z * s)
+        dq[2] = __hfma2(q2.as_half2, y1y16[0], z1z16[0]);
+        dq[3] = __hfma2(q3.as_half2, y1y16[1], z1z16[1]);
+    }
+    else
+    {
+        dq[0] = __hadd2(q0.as_half2,           z1z16[0]);  // half2( q[0] - z, q[1] - z )
+        dq[1] = __hfma2(q1.as_half2, y1y16[1], z1z16[1]);  // half2( q[2] - z, q[3] - z )
+        dq[2] = __hadd2(q2.as_half2,           z1z16[0]);  // half2( q[4] - z, q[5] - z )
+        dq[3] = __hfma2(q3.as_half2, y1y16[1], z1z16[1]);  // half2( q[6] - z, q[7] - z )
+    }
+}
+
+#else
+
+__forceinline__ __device__ void shuffle_4bit_8
+(
+    uint32_t* q,
+    int stride
+)
+{
+}
+
+__forceinline__ __device__ void dequant_4bit_8
+(
+    const uint32_t q_0,
+    half2 (&dq)[4],
+    int stride
+)
+{
+    half dqh[8];
+    for (int i = 0; i < 8; i++) dqh[i] = dq_ns(exb(q_0, i * 4, 0x0f), 8);
+
+    for (int i = 0; i < 4; i++) dq[i] = __halves2half2(dqh[i * 2], dqh[i * 2 + 1]);
+}
+
+__forceinline__ __device__ void dequant_4bit_8_prep_zero_scale
+(
+    const uint32_t zero,
+    const half scale,
+    half2 (&z1)[2],
+    half2 (&y1)[2]
+)
+{
+    half z = __int2half_rn(-((int)zero));
+    z = __hmul(z, scale);
+    z1[0] = __half2half2(z);
+    y1[0] = __half2half2(scale);
+}
+
+__forceinline__ __device__ void dequant_4bit_8_prep_zero
+(
+    const uint32_t zero,
+    half2(&z1)[2],
+    half2(&y1)[2]
+)
+{
+    half z = __int2half_rn(-((int)zero));
+    z1[0] = __half2half2(z);
+}
+
+__forceinline__ __device__ void dequant_4bit_8_gptq
+(
+    const uint32_t q_0,
+    half2 (&dq)[4],
+    half2 (&z1)[2],
+    half2 (&y1)[2],
+    int stride,
+    bool scaled
+)
+{
+    half2 dqh2[8];
+
+    uint32_t qa = q_0;
+    for (int i = 0; i < 4; i++)
+    {
+        half d0 = __int2half_rn(qa & 0x0f); qa >>= 4;
+        half d1 = __int2half_rn(qa & 0x0f); qa >>= 4;
+        dqh2[i] = __halves2half2(d0, d1);
+    }
+
+    if (scaled)
+    {
+        dq[0] = __hfma2(dqh2[0], y1[0], z1[0]);
+        dq[1] = __hfma2(dqh2[1], y1[0], z1[0]);
+        dq[2] = __hfma2(dqh2[2], y1[0], z1[0]);
+        dq[3] = __hfma2(dqh2[3], y1[0], z1[0]);
+    }
+    else
+    {
+        dq[0] = __hadd2(dqh2[0], z1[0]);
+        dq[1] = __hadd2(dqh2[1], z1[0]);
+        dq[2] = __hadd2(dqh2[2], z1[0]);
+        dq[3] = __hadd2(dqh2[3], z1[0]);
+    }
+}
+
+#endif
+
+#endif
\ No newline at end of file
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_5.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_5.cuh
new file mode 100644
index 000000000..454e4b93b
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_5.cuh
@@ -0,0 +1,207 @@
+#ifndef _qdq_5_cuh
+#define _qdq_5_cuh
+
+#include "qdq_util.cuh"
+#include "../../config.h"
+
+#if QMODE_5BIT == 1
+
+// Permutation:
+//
+// v5555533 33311111  u4444422 22200000  (u, v lsb)
+// vbbbbb99 99977777  uaaaaa88 88866666
+// vhhhhhff fffddddd  ugggggee eeeccccc
+// vnnnnnll llljjjjj  ummmmmkk kkkiiiii
+// vtttttrr rrrppppp  usssssqq qqqooooo
+
+__forceinline__ __device__ void shuffle_5bit_32
+(
+    uint32_t* q,
+    int stride
+)
+{
+    uint32_t qa = q[0 * stride];
+    uint32_t qb = q[1 * stride];
+    uint32_t qc = q[2 * stride];
+    uint32_t qd = q[3 * stride];
+    uint32_t qe = q[4 * stride];
+
+    // qa: 66555554 44443333  32222211 11100000
+    // qb: ccccbbbb baaaaa99  99988888 77777666
+    // qc: jiiiiihh hhhggggg  fffffeee eedddddc
+    // qd: pppooooo nnnnnmmm  mmlllllk kkkkjjjj
+    // qe: vvvvvuuu uuttttts  ssssrrrr rqqqqqpp
+
+    uint32_t qf = qe >> 22;
+    qe <<= 8;
+    qe |= qd >> 24;
+    qd <<= 6;
+    qd |= qc >> 26;
+    qc <<= 4;
+    qc |= qb >> 28;
+    qb <<= 2;
+    qb |= qa >> 30;
+
+    // qa:   555554 44443333  32222211 11100000
+    // qb:   bbbbba aaaa9999  98888877 77766666
+    // qc:   hhhhhg ggggffff  feeeeedd dddccccc
+    // qd:   nnnnnm mmmmllll  lkkkkkjj jjjiiiii
+    // qe:   ttttts ssssrrrr  rqqqqqpp pppooooo
+    // qf:                          vv vvvuuuuu
+
+    uint32_t za = 0;
+    uint32_t zb = 0;
+    uint32_t zc = 0;
+    uint32_t zd = 0;
+    uint32_t ze = 0;
+
+    for (int i = 0; i < 3; i++) { uint32_t t0 = qa & 0x1f; uint32_t t1 = (qa & 0x3e0) >> 5; qa >>= 10; za |= (t0 << (i * 5)); za |= (t1 << (i * 5 + 16)); }
+    for (int i = 0; i < 3; i++) { uint32_t t0 = qb & 0x1f; uint32_t t1 = (qb & 0x3e0) >> 5; qb >>= 10; zb |= (t0 << (i * 5)); zb |= (t1 << (i * 5 + 16)); }
+    for (int i = 0; i < 3; i++) { uint32_t t0 = qc & 0x1f; uint32_t t1 = (qc & 0x3e0) >> 5; qc >>= 10; zc |= (t0 << (i * 5)); zc |= (t1 << (i * 5 + 16)); }
+    for (int i = 0; i < 3; i++) { uint32_t t0 = qd & 0x1f; uint32_t t1 = (qd & 0x3e0) >> 5; qd >>= 10; zd |= (t0 << (i * 5)); zd |= (t1 << (i * 5 + 16)); }
+    for (int i = 0; i < 3; i++) { uint32_t t0 = qe & 0x1f; uint32_t t1 = (qe & 0x3e0) >> 5; qe >>= 10; ze |= (t0 << (i * 5)); ze |= (t1 << (i * 5 + 16)); }
+
+    // za:  5555533 33311111   4444422 22200000
+    // zb:  bbbbb99 99977777   aaaaa88 88866666
+    // zc:  hhhhhff fffddddd   gggggee eeeccccc
+    // zd:  nnnnnll llljjjjj   mmmmmkk kkkiiiii
+    // ze:  tttttrr rrrppppp   sssssqq qqqooooo
+    // qf:                          vv vvvuuuuu
+
+    za |= ((qf & 0x001) >> 0) << 15;
+    zb |= ((qf & 0x002) >> 1) << 15;
+    zc |= ((qf & 0x004) >> 2) << 15;
+    zd |= ((qf & 0x008) >> 3) << 15;
+    ze |= ((qf & 0x010) >> 4) << 15;
+    za |= ((qf & 0x020) >> 5) << 31;
+    zb |= ((qf & 0x040) >> 6) << 31;
+    zc |= ((qf & 0x080) >> 7) << 31;
+    zd |= ((qf & 0x100) >> 8) << 31;
+    ze |= ((qf & 0x200) >> 9) << 31;
+
+    // za: v5555533 33311111  u4444422 22200000  (u, v lsb)
+    // zb: vbbbbb99 99977777  uaaaaa88 88866666
+    // zc: vhhhhhff fffddddd  ugggggee eeeccccc
+    // zd: vnnnnnll llljjjjj  ummmmmkk kkkiiiii
+    // ze: vtttttrr rrrppppp  usssssqq qqqooooo
+
+    q[0 * stride] = za;
+    q[1 * stride] = zb;
+    q[2 * stride] = zc;
+    q[3 * stride] = zd;
+    q[4 * stride] = ze;
+}
+
+__forceinline__ __device__ void dequant_5bit_32
+(
+    const uint32_t q_0,
+    const uint32_t q_1,
+    const uint32_t q_2,
+    const uint32_t q_3,
+    const uint32_t q_4,
+    half2 (&dq)[16],
+    int stride
+)
+{
+    const uint32_t c0 = 0x64006400;
+    const half y32_ = __float2half_rn(1.0f / 32.0f);
+    const half2 y32 = __halves2half2(y32_, y32_);
+    const half z1_  = __float2half_rn(-1024.0f         - 16.0f);
+    const half z32_ = __float2half_rn(-1024.0f / 32.0f - 16.0f);
+    const half2 z1  = __halves2half2(z1_,  z1_);
+    const half2 z32 = __halves2half2(z32_, z32_);
+
+    uint32_t qa = q_0;
+    uint32_t qb = q_1;
+    uint32_t qc = q_2;
+    uint32_t qd = q_3;
+    uint32_t qe = q_4;
+
+    half2_uint32 q0 ((qa & 0x001f001f) | c0); // half2(q[ 0], q[ 1])      + 1024
+    half2_uint32 q1 ((qa & 0x03e003e0) | c0); // half2(q[ 2], q[ 3]) * 32 + 1024
+    qa >>= 10;
+    half2_uint32 q2 ((qa & 0x001f001f) | c0); // half2(q[ 4], q[ 5])      + 1024
+    qa >>= 5;
+    qa &= 0x00010001;
+    half2_uint32 q3 ((qb & 0x001f001f) | c0); // half2(q[ 6], q[ 7])      + 1024
+    half2_uint32 q4 ((qb & 0x03e003e0) | c0); // half2(q[ 8], q[ 9]) * 32 + 1024
+    qb >>= 10;
+    half2_uint32 q5 ((qb & 0x001f001f) | c0); // half2(q[10], q[11])      + 1024
+    qb >>= 4;
+    qb &= 0x00020002;
+    half2_uint32 q6 ((qc & 0x001f001f) | c0); // half2(q[12], q[13])      + 1024
+    half2_uint32 q7 ((qc & 0x03e003e0) | c0); // half2(q[14], q[15]) * 32 + 1024
+    qc >>= 10;
+    half2_uint32 q8 ((qc & 0x001f001f) | c0); // half2(q[16], q[17])      + 1024
+    qc >>= 3;
+    qc &= 0x00040004;
+    half2_uint32 q9 ((qd & 0x001f001f) | c0); // half2(q[18], q[19])      + 1024
+    half2_uint32 q10((qd & 0x03e003e0) | c0); // half2(q[20], q[21]) * 32 + 1024
+    qd >>= 10;
+    half2_uint32 q11((qd & 0x001f001f) | c0); // half2(q[22], q[23])      + 1024
+    qd >>= 2;
+    qd &= 0x00080008;
+    half2_uint32 q12((qe & 0x001f001f) | c0); // half2(q[24], q[25])      + 1024
+    half2_uint32 q13((qe & 0x03e003e0) | c0); // half2(q[26], q[27]) * 32 + 1024
+    qe >>= 10;
+    half2_uint32 q14((qe & 0x001f001f) | c0); // half2(q[28], q[29])      + 1024
+    qe >>= 1;
+    qe &= 0x00100010;
+    half2_uint32 q15((qa | qb | qc | qd | qe) | c0);
+
+    dq[ 0] = __hadd2( q0.as_half2, z1);
+    dq[ 1] = __hfma2( q1.as_half2, y32, z32);
+    dq[ 2] = __hadd2( q2.as_half2, z1);
+    dq[ 3] = __hadd2( q3.as_half2, z1);
+    dq[ 4] = __hfma2( q4.as_half2, y32, z32);
+    dq[ 5] = __hadd2( q5.as_half2, z1);
+    dq[ 6] = __hadd2( q6.as_half2, z1);
+    dq[ 7] = __hfma2( q7.as_half2, y32, z32);
+    dq[ 8] = __hadd2( q8.as_half2, z1);
+    dq[ 9] = __hadd2( q9.as_half2, z1);
+    dq[10] = __hfma2(q10.as_half2, y32, z32);
+    dq[11] = __hadd2(q11.as_half2, z1);
+    dq[12] = __hadd2(q12.as_half2, z1);
+    dq[13] = __hfma2(q13.as_half2, y32, z32);
+    dq[14] = __hadd2(q14.as_half2, z1);
+    dq[15] = __hadd2(q15.as_half2, z1);
+}
+
+#else
+
+__forceinline__ __device__ void shuffle_5bit_32
+(
+    uint32_t* q,
+    int stride
+)
+{
+}
+
+__forceinline__ __device__ void dequant_5bit_32
+(
+    const uint32_t q_0,
+    const uint32_t q_1,
+    const uint32_t q_2,
+    const uint32_t q_3,
+    const uint32_t q_4,
+    half2 (&dq)[16],
+    int stride
+)
+{
+    half dqh[32];
+    for (int i = 0; i <  6; i++) dqh[     i] = dq_ns(exb(     q_0, i * 5    , 0x1f), 16);
+                                 dqh[ 6    ] = dq_ns(exb(q_1, q_0,        30, 0x1f), 16);
+    for (int i = 0; i <  5; i++) dqh[ 7 + i] = dq_ns(exb(     q_1, i * 5 + 3, 0x1f), 16);
+                                 dqh[12    ] = dq_ns(exb(q_2, q_1,        28, 0x1f), 16);
+    for (int i = 0; i <  6; i++) dqh[13 + i] = dq_ns(exb(     q_2, i * 5 + 1, 0x1f), 16);
+                                 dqh[19    ] = dq_ns(exb(q_3, q_2,        31, 0x1f), 16);
+    for (int i = 0; i <  5; i++) dqh[20 + i] = dq_ns(exb(     q_3, i * 5 + 4, 0x1f), 16);
+                                 dqh[25    ] = dq_ns(exb(q_4, q_3,        29, 0x1f), 16);
+    for (int i = 0; i <  6; i++) dqh[26 + i] = dq_ns(exb(     q_4, i * 5 + 2, 0x1f), 16);
+
+    for (int i = 0; i < 16; i++) dq[i] = __halves2half2(dqh[i * 2], dqh[i * 2 + 1]);
+}
+
+#endif
+
+#endif
\ No newline at end of file
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_6.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_6.cuh
new file mode 100644
index 000000000..c2eb8cfbf
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_6.cuh
@@ -0,0 +1,44 @@
+#ifndef _qdq_6_cuh
+#define _qdq_6_cuh
+
+#include "qdq_util.cuh"
+#include "../../config.h"
+
+#if QMODE_6BIT == 1
+
+  // Not implemented
+
+#else
+
+__forceinline__ __device__ void shuffle_6bit_16
+(
+    uint32_t* q,
+    int stride
+)
+{
+}
+
+__forceinline__ __device__ void dequant_6bit_16
+(
+    const uint32_t q_0,
+    const uint32_t q_1,
+    const uint32_t q_2,
+    half2 (&dq)[8],
+    int stride
+)
+{
+    half dqh[16];
+    for (int i = 0; i < 5; i++) dqh[     i] = dq_ns(exb(     q_0, i * 6    , 0x3f), 32);
+                                dqh[ 5    ] = dq_ns(exb(q_1, q_0,        30, 0x3f), 32);
+    for (int i = 0; i < 4; i++) dqh[ 6 + i] = dq_ns(exb(     q_1, i * 6 + 4, 0x3f), 32);
+                                dqh[10    ] = dq_ns(exb(q_2, q_1,        28, 0x3f), 32);
+    for (int i = 0; i < 5; i++) dqh[11 + i] = dq_ns(exb(     q_2, i * 6 + 2, 0x3f), 32);
+
+    for (int i = 0; i < 8; i++) dq[i] = __halves2half2(dqh[i * 2], dqh[i * 2 + 1]);
+}
+
+#endif
+
+#endif
+
+
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_8.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_8.cuh
new file mode 100644
index 000000000..e2409efac
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_8.cuh
@@ -0,0 +1,38 @@
+#ifndef _qdq_8_cuh
+#define _qdq_8_cuh
+
+#include "qdq_util.cuh"
+#include "../../config.h"
+
+#if QMODE_8BIT == 1
+
+  // Not implemented
+
+#else
+
+__forceinline__ __device__ void shuffle_8bit_4
+(
+    uint32_t* q,
+    int stride
+)
+{
+}
+
+__forceinline__ __device__ void dequant_8bit_8
+(
+    const uint32_t q_0,
+    const uint32_t q_1,
+    half2 (&dq)[4],
+    int stride
+)
+{
+    half dqh[8];
+    for (int i = 0; i < 4; i++) dqh[i    ] = dq_ns(exb(q_0, i * 8, 0xff), 128);
+    for (int i = 0; i < 4; i++) dqh[i + 4] = dq_ns(exb(q_1, i * 8, 0xff), 128);
+
+    for (int i = 0; i < 4; i++) dq[i] = __halves2half2(dqh[i * 2], dqh[i * 2 + 1]);
+}
+
+#endif
+
+#endif
\ No newline at end of file
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_util.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_util.cuh
new file mode 100644
index 000000000..71657191b
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/quant/qdq_util.cuh
@@ -0,0 +1,51 @@
+#ifndef _qdq_util_cuh
+#define _qdq_util_cuh
+
+union half2_uint32
+{
+    uint32_t as_uint32;
+    half2 as_half2;
+    __device__ half2_uint32(uint32_t val) : as_uint32(val) {}
+    __device__ half2_uint32(half2 val) : as_half2(val) {}
+};
+
+union half_uint16
+{
+    uint16_t as_uint16;
+    half as_half;
+    __device__ half_uint16(uint16_t val) : as_uint16(val) {}
+    __device__ half_uint16(half val) : as_half(val) {}
+};
+
+// Max_scale premultiplied by 1/256
+
+__forceinline__ __device__ half dq_scale(const int qs, const half max_scale)
+{
+    int qs_i = qs + 1;
+    half qs_h = __int2half_rn(qs_i * qs_i);
+    qs_h = __hmul(qs_h, max_scale);
+    return qs_h;
+}
+
+__forceinline__ __device__ half dq(const int q, const int qzero, const half scale)
+{
+    return __hmul(__int2half_rn(q - qzero), scale);
+}
+
+__forceinline__ __device__ half dq_ns(const int q, const int qzero)
+{
+    //return __hsub(__int2half_rn(q), __int2half_rn(qzero));
+    return __int2half_rn(q - qzero);
+}
+
+__forceinline__ __device__ int exb(const uint32_t q, const int shift, const int mask)
+{
+    return (int)((q >> shift) & mask);
+}
+
+__forceinline__ __device__ int exb(const uint32_t q1, const uint32_t q0, const int shift, const int mask)
+{
+    return (int)(__funnelshift_rc(q0, q1, shift) & mask);
+}
+
+#endif
diff --git a/server/exllamav2_kernels/exllamav2_kernels/cuda/util.cuh b/server/exllamav2_kernels/exllamav2_kernels/cuda/util.cuh
new file mode 100644
index 000000000..06a58d184
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/cuda/util.cuh
@@ -0,0 +1,42 @@
+
+#define DIVIDE(x, size) (((x) + (size) - 1) / (size))
+
+#define DBGS(__x) printf("%s\n", __x)
+#define DBGI(__x) printf("%s: %i\n", #__x, __x)
+#define DBGI2(__x, __y) printf("%s, %s: %i, %i\n", #__x, #__y, __x, __y)
+#define DBGI3(__x, __y, __z) printf("%s, %s, %s: %i, %i, %i\n", #__x, #__y, #__z, __x, __y, __z)
+#define DBGX(__x) printf("%s: %x\n", #__x, __x)
+#define DBGX2(__x, __y) printf("%s, %s: %x, %x\n", #__x, #__y, __x, __y)
+#define DBGX3(__x, __y, __z) printf("%s, %s, %s: %x, %x, %x\n", #__x, #__y, #__z, __x, __y, __z)
+#define DBGF(__x) printf("%s: %f\n", #__x, __x)
+#define DBGF2(__x, __y) printf("%s, %s: %f, %f\n", #__x, #__y, __x, __y)
+#define DBGF3(__x, __y, __z) printf("%s, %s, %s: %f, %f, %f\n", #__x, #__y, #__z, __x, __y, __z)
+#define DBGH(__x) printf("%s: %f\n", #__x, __half2float(__x))
+#define DBGH2(__x, __y) printf("%s, %s: %f, %f\n", #__x, #__y, __half2float(__x), __half2float(__y))
+#define DBGH3(__x, __y, __z) printf("%s, %s, %s: %f, %f, %f\n", #__x, #__y, #__z, __half2float(__x), __half2float(__y), __half2float(__z))
+
+#define DBGIH(__x, __y) printf("%s, %s: %i, %f\n", #__x, #__y, __x, __half2float(__y))
+#define DBGIH2(__x, __y, __z) printf("%s, %s, %s: %i, %f, %f\n", #__x, #__y, #__z, __x, __half2float(__y), __half2float(__z))
+
+__forceinline__ __device__ half dq_scale_(const int qs, const half max_scale)
+{
+    half qs_h = __hmul(__int2half_rn(qs + 1), __float2half_rn(1.0f / 16.0f));
+    qs_h = __hmul(qs_h, qs_h);
+    qs_h = __hmul(qs_h, max_scale);
+    return qs_h;
+}
+
+__forceinline__ __device__ float clamp(float x, float a, float b)
+{
+    return fmaxf(a, fminf(b, x));
+}
+
+#define cuda_check(ans) { gpu_assert((ans), __FILE__, __LINE__); }
+inline void gpu_assert(cudaError_t code, const char *file, int line, bool abort=true)
+{
+   if (code != cudaSuccess)
+   {
+      fprintf(stderr,"CUDA error: %s %s %d\n", cudaGetErrorString(code), file, line);
+      if (abort) exit(code);
+   }
+}
diff --git a/server/exllamav2_kernels/exllamav2_kernels/ext.cpp b/server/exllamav2_kernels/exllamav2_kernels/ext.cpp
new file mode 100644
index 000000000..5e52e6abd
--- /dev/null
+++ b/server/exllamav2_kernels/exllamav2_kernels/ext.cpp
@@ -0,0 +1,134 @@
+#include <torch/extension.h>
+#include <c10/cuda/CUDAGuard.h>
+#include <ATen/cuda/CUDAContext.h>
+#include <cuda_runtime.h>
+#include <cuda_fp16.h>
+#include <cstdint>
+#include <cstdio>
+
+#include "config.h"
+
+#include "cuda/q_matrix.cuh"
+#include "cuda/q_gemm.cuh"
+
+#include "cpp/util.h"
+
+// Some decluttering macros
+
+#define TORCH_CHECK_DTYPE(__x, __dtype) TORCH_CHECK((__x).dtype() == torch::__dtype, #__x " is incorrect datatype, must be " #__dtype)
+#define TORCH_CHECK_DTYPE_OPT(__x, __dtype) TORCH_CHECK((__x).device().is_meta() || (__x).dtype() == torch::__dtype, #__x " is incorrect datatype, must be " #__dtype)
+#define TORCH_CHECK_SHAPES(__x, __dim_x, __y, __dim_y, __scale_y) TORCH_CHECK((__x).size(__dim_x) == (__y).size(__dim_y) * __scale_y, #__x " and " #__y " have incompatible shapes")
+#define TORCH_CHECK_SHAPES_OPT(__x, __dim_x, __y, __dim_y, __scale_y) TORCH_CHECK((__x).device().is_meta() || (__x).size(__dim_x) == (__y).size(__dim_y) * __scale_y, #__x " and " #__y " have incompatible shapes")
+
+
+// Quant matrix
+
+uintptr_t make_q_matrix
+(
+    torch::Tensor q_weight,
+    torch::Tensor q_perm,
+    torch::Tensor q_invperm,
+    torch::Tensor q_scale,
+    torch::Tensor q_scale_max,
+    torch::Tensor q_groups,
+    torch::Tensor gptq_qzeros,
+    torch::Tensor gptq_scales,
+    torch::Tensor gptq_g_idx,
+    torch::Tensor temp_dq
+)
+{
+    TORCH_CHECK_DTYPE(q_weight, kInt);
+    TORCH_CHECK_DTYPE_OPT(q_perm, kShort);
+    TORCH_CHECK_DTYPE_OPT(q_invperm, kShort);
+    TORCH_CHECK_DTYPE_OPT(q_scale, kInt);
+    TORCH_CHECK_DTYPE_OPT(q_scale_max, kHalf);
+    TORCH_CHECK_DTYPE_OPT(q_groups, kShort);
+    TORCH_CHECK_DTYPE_OPT(gptq_qzeros, kInt);
+    TORCH_CHECK_DTYPE_OPT(gptq_scales, kHalf);
+    TORCH_CHECK_DTYPE_OPT(gptq_g_idx, kInt);
+
+    TORCH_CHECK_SHAPES(q_perm, 0, q_invperm, 0, 1);
+
+    int device = q_weight.device().index();
+    int width = q_weight.size(1);
+    int groups;
+    int height;
+
+    if (!q_scale.device().is_meta())
+    {
+        TORCH_CHECK_SHAPES(q_weight, 1, q_scale, 1, 8);
+        TORCH_CHECK_SHAPES(q_scale_max, 0, q_scale, 0, 1);
+        groups = q_scale.size(0);
+        height = q_invperm.size(0);
+    }
+    else
+    {
+        TORCH_CHECK_SHAPES(q_weight, 1, gptq_qzeros, 1, 8);
+        TORCH_CHECK_SHAPES(q_weight, 1, gptq_scales, 1, 1);
+        groups = gptq_qzeros.size(0);
+        height = q_weight.size(0) * 8;
+    }
+
+    TORCH_CHECK(temp_dq.size(0) >= width * height, "Insufficient size of temp_dq buffer")
+
+    QMatrix* m = new QMatrix
+    (
+        device,
+        height,
+        width,
+        groups,
+        (uint32_t*) q_weight.data_ptr(),
+        q_perm.device().is_meta() ? NULL : (uint16_t*) q_perm.data_ptr(),
+        q_invperm.device().is_meta() ? NULL : (uint16_t*) q_invperm.data_ptr(),
+        q_scale.device().is_meta() ? NULL : (uint32_t*) q_scale.data_ptr(),
+        q_scale_max.device().is_meta() ? NULL : (half*) q_scale_max.data_ptr(),
+        q_groups.device().is_meta() ? NULL : (uint16_t*) q_groups.data_ptr(),
+        gptq_qzeros.device().is_meta() ? NULL : (uint32_t*) gptq_qzeros.data_ptr(),
+        gptq_scales.device().is_meta() ? NULL : (half*) gptq_scales.data_ptr(),
+        gptq_g_idx.device().is_meta() ? NULL : (uint32_t*) gptq_g_idx.data_ptr(),
+        (half*) temp_dq.data_ptr()
+    );
+
+    return reinterpret_cast<uintptr_t> (m);
+}
+
+void gemm_half_q_half
+(
+    torch::Tensor a,
+    uintptr_t b,
+    torch::Tensor c,
+    bool force_cuda
+)
+{
+    QMatrix* qm = reinterpret_cast<QMatrix*> (b);
+
+    TORCH_CHECK_DTYPE(a, kHalf);
+    TORCH_CHECK_DTYPE(c, kHalf);
+    TORCH_CHECK_SHAPES(a, 0, c, 0, 1);
+    TORCH_CHECK(qm->height == a.size(1), "a and b have incompatible shapes")
+    TORCH_CHECK(qm->width == c.size(1), "b and c have incompatible shapes")
+
+    const at::cuda::OptionalCUDAGuard device_guard(device_of(a));
+
+    gemm_half_q_half_cuda
+    (
+        at::cuda::getCurrentCUDABlasHandle(),
+        (const half*) a.data_ptr(),
+        qm,
+        (half*) c.data_ptr(),
+        c.size(0), // m
+        c.size(1), // n
+        a.size(1), // k
+        true,
+        NULL,
+        force_cuda
+    );
+}
+
+// Bindings
+
+PYBIND11_MODULE(TORCH_EXTENSION_NAME, m)
+{
+    m.def("make_q_matrix", &make_q_matrix, "make_q_matrix");
+    m.def("gemm_half_q_half", &gemm_half_q_half, "gemm_half_q_half");
+}
diff --git a/server/exllamav2_kernels/setup.py b/server/exllamav2_kernels/setup.py
new file mode 100644
index 000000000..518db1df9
--- /dev/null
+++ b/server/exllamav2_kernels/setup.py
@@ -0,0 +1,17 @@
+from setuptools import setup
+from torch.utils.cpp_extension import BuildExtension, CUDAExtension
+
+setup(
+    name="exllamav2_kernels",
+    ext_modules=[
+        CUDAExtension(
+            name="exllamav2_kernels",
+            sources=[
+                "exllamav2_kernels/ext.cpp",
+                "exllamav2_kernels/cuda/q_matrix.cu",
+                "exllamav2_kernels/cuda/q_gemm.cu",
+            ],
+        )
+    ],
+    cmdclass={"build_ext": BuildExtension},
+)
diff --git a/server/poetry.lock b/server/poetry.lock
index 0caa1d341..48ae40fe0 100644
--- a/server/poetry.lock
+++ b/server/poetry.lock
@@ -1,10 +1,10 @@
-# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
 version = "0.20.3"
 description = "Accelerate"
-optional = false
+optional = true
 python-versions = ">=3.7.0"
 files = [
     {file = "accelerate-0.20.3-py3-none-any.whl", hash = "sha256:147183e7a2215f7bd45a7af3b986a963daa8a61fa58b0912b9473049e011ad15"},
@@ -30,111 +30,99 @@ testing = ["datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pyte
 
 [[package]]
 name = "aiohttp"
-version = "3.8.5"
+version = "3.9.0"
 description = "Async http client/server framework (asyncio)"
 optional = true
-python-versions = ">=3.6"
+python-versions = ">=3.8"
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 [package.dependencies]
 aiosignal = ">=1.1.2"
-async-timeout = ">=4.0.0a3,<5.0"
+async-timeout = {version = ">=4.0,<5.0", markers = "python_version < \"3.11\""}
 attrs = ">=17.3.0"
-charset-normalizer = ">=2.0,<4.0"
 frozenlist = ">=1.1.1"
 multidict = ">=4.5,<7.0"
 yarl = ">=1.0,<2.0"
 
 [package.extras]
-speedups = ["Brotli", "aiodns", "cchardet"]
+speedups = ["Brotli", "aiodns", "brotlicffi"]
 
 [[package]]
 name = "aiosignal"
@@ -192,123 +180,123 @@ files = [
 
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 python-versions = "*"
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 ]
 
 [[package]]
 name = "certifi"
-version = "2023.7.22"
+version = "2023.11.17"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
 files = [
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 ]
 
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 ]
 
 [[package]]
@@ -338,25 +326,26 @@ files = [
 
 [[package]]
 name = "datasets"
-version = "2.14.5"
+version = "2.14.7"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = true
 python-versions = ">=3.8.0"
 files = [
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 aiohttp = "*"
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-fsspec = {version = ">=2023.1.0,<2023.9.0", extras = ["http"]}
+fsspec = {version = ">=2023.1.0,<=2023.10.0", extras = ["http"]}
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 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
 pandas = "*"
 pyarrow = ">=8.0.0"
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 pyyaml = ">=5.1"
 requests = ">=2.19.0"
 tqdm = ">=4.62.1"
@@ -422,13 +411,13 @@ files = [
 
 [[package]]
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-version = "1.1.3"
+version = "1.2.0"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
 files = [
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@@ -436,19 +425,19 @@ test = ["pytest (>=6)"]
 
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 description = "A platform independent file lock."
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 python-versions = ">=3.8"
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 [[package]]
 name = "frozenlist"
@@ -522,13 +511,13 @@ files = [
 
 [[package]]
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@@ -561,13 +550,13 @@ tqdm = ["tqdm"]
 
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+version = "1.61.0"
 description = "Common protobufs used in Google APIs"
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 [[package]]
 name = "grpc-interceptor"
-version = "0.15.3"
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 clipboard = ["PyQt5 (>=5.15.6)", "qtpy (>=2.2.0)"]
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 xml = ["lxml (>=4.8.0)"]
 
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 name = "peft"
 version = "0.4.0"
 description = "Parameter-Efficient Fine-Tuning (PEFT)"
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 [package.dependencies]
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 [package.dependencies]
@@ -1867,36 +2023,36 @@ torch = ["numpy (>=1.21.6)", "torch (>=1.10)"]
 
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 description = "Computer algebra system (CAS) in Python"
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 networkx = "*"
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+nvidia-nccl-cu12 = {version = "2.18.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 sympy = "*"
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 typing-extensions = "*"
 
 [package.extras]
+dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
 
 [[package]]
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 video = ["av (==9.2.0)", "decord (==0.6.0)"]
 vision = ["Pillow (<10.0.0)"]
 
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+python-versions = "*"
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+
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+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
+
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 version = "0.6.1"
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+    {file = "yarl-1.9.3.tar.gz", hash = "sha256:4a14907b597ec55740f63e52d7fee0e9ee09d5b9d57a4f399a7423268e457b57"},
 ]
 
 [package.dependencies]
@@ -2547,9 +2775,11 @@ multidict = ">=4.0"
 [extras]
 accelerate = ["accelerate"]
 bnb = ["bitsandbytes"]
+peft = ["peft"]
 quantize = ["accelerate", "datasets", "texttable"]
+torch = ["torch"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.9,<3.13"
-content-hash = "f2ef5f41a172d14985367a385ad6ce844c8c05b2d68d9ddcc11b41f581921c96"
+content-hash = "cd3fb4b4e4aaf100f6015afa8c9adc28c22e6c0b48752452892dc3d004c1562a"
diff --git a/server/pyproject.toml b/server/pyproject.toml
index 81ab56dab..73c9b929c 100644
--- a/server/pyproject.toml
+++ b/server/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "text-generation-server"
-version = "1.1.1"
+version = "1.2.0"
 description = "Text Generation Inference Python gRPC Server"
 authors = ["Olivier Dehaene <olivier@huggingface.co>"]
 
diff --git a/server/requirements_common.txt b/server/requirements_common.txt
new file mode 100644
index 000000000..5a321834d
--- /dev/null
+++ b/server/requirements_common.txt
@@ -0,0 +1,46 @@
+backoff==2.2.1 ; python_version >= "3.9" and python_version < "3.13"
+certifi==2023.11.17 ; python_version >= "3.9" and python_version < "3.13"
+charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "3.13"
+click==8.1.7 ; python_version >= "3.9" and python_version < "3.13"
+colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows")
+deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13"
+einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
+filelock==3.13.1 ; python_version >= "3.9" and python_version < "3.13"
+fsspec==2023.10.0 ; python_version >= "3.9" and python_version < "3.13"
+googleapis-common-protos==1.61.0 ; python_version >= "3.9" and python_version < "3.13"
+grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
+grpcio-reflection==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+grpcio-status==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+grpcio==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+hf-transfer==0.1.4 ; python_version >= "3.9" and python_version < "3.13"
+huggingface-hub==0.16.4 ; python_version >= "3.9" and python_version < "3.13"
+idna==3.4 ; python_version >= "3.9" and python_version < "3.13"
+loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13"
+numpy==1.26.2 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-instrumentation-grpc==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-instrumentation==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+packaging==23.2 ; python_version >= "3.9" and python_version < "3.13"
+pillow==10.1.0 ; python_version >= "3.9" and python_version < "3.13"
+protobuf==4.25.1 ; python_version >= "3.9" and python_version < "3.13"
+pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "3.13"
+regex==2023.10.3 ; python_version >= "3.9" and python_version < "3.13"
+requests==2.31.0 ; python_version >= "3.9" and python_version < "3.13"
+safetensors==0.3.3 ; python_version >= "3.9" and python_version < "3.13"
+scipy==1.11.4 ; python_version >= "3.9" and python_version < "3.13"
+sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==69.0.2 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "3.13"
+tqdm==4.66.1 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.33.3 ; python_version >= "3.9" and python_version < "3.13"
+typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
+typing-extensions==4.8.0 ; python_version >= "3.9" and python_version < "3.13"
+urllib3==2.1.0 ; python_version >= "3.9" and python_version < "3.13"
+win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32"
+wrapt==1.16.0 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/requirements_cuda.txt b/server/requirements_cuda.txt
new file mode 100644
index 000000000..bc1b88912
--- /dev/null
+++ b/server/requirements_cuda.txt
@@ -0,0 +1,47 @@
+backoff==2.2.1 ; python_version >= "3.9" and python_version < "3.13"
+bitsandbytes==0.41.2.post2 ; python_version >= "3.9" and python_version < "3.13"
+certifi==2023.11.17 ; python_version >= "3.9" and python_version < "3.13"
+charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "3.13"
+click==8.1.7 ; python_version >= "3.9" and python_version < "3.13"
+colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows")
+deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13"
+einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
+filelock==3.13.1 ; python_version >= "3.9" and python_version < "3.13"
+fsspec==2023.10.0 ; python_version >= "3.9" and python_version < "3.13"
+googleapis-common-protos==1.61.0 ; python_version >= "3.9" and python_version < "3.13"
+grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
+grpcio-reflection==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+grpcio-status==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+grpcio==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+hf-transfer==0.1.4 ; python_version >= "3.9" and python_version < "3.13"
+huggingface-hub==0.16.4 ; python_version >= "3.9" and python_version < "3.13"
+idna==3.4 ; python_version >= "3.9" and python_version < "3.13"
+loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13"
+numpy==1.26.2 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-instrumentation-grpc==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-instrumentation==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+packaging==23.2 ; python_version >= "3.9" and python_version < "3.13"
+pillow==10.1.0 ; python_version >= "3.9" and python_version < "3.13"
+protobuf==4.25.1 ; python_version >= "3.9" and python_version < "3.13"
+pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "3.13"
+regex==2023.10.3 ; python_version >= "3.9" and python_version < "3.13"
+requests==2.31.0 ; python_version >= "3.9" and python_version < "3.13"
+safetensors==0.3.3 ; python_version >= "3.9" and python_version < "3.13"
+scipy==1.11.4 ; python_version >= "3.9" and python_version < "3.13"
+sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==69.0.2 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "3.13"
+tqdm==4.66.1 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.33.3 ; python_version >= "3.9" and python_version < "3.13"
+typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
+typing-extensions==4.8.0 ; python_version >= "3.9" and python_version < "3.13"
+urllib3==2.1.0 ; python_version >= "3.9" and python_version < "3.13"
+win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32"
+wrapt==1.16.0 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/requirements_rocm.txt b/server/requirements_rocm.txt
new file mode 100644
index 000000000..5a321834d
--- /dev/null
+++ b/server/requirements_rocm.txt
@@ -0,0 +1,46 @@
+backoff==2.2.1 ; python_version >= "3.9" and python_version < "3.13"
+certifi==2023.11.17 ; python_version >= "3.9" and python_version < "3.13"
+charset-normalizer==3.3.2 ; python_version >= "3.9" and python_version < "3.13"
+click==8.1.7 ; python_version >= "3.9" and python_version < "3.13"
+colorama==0.4.6 ; python_version >= "3.9" and python_version < "3.13" and (sys_platform == "win32" or platform_system == "Windows")
+deprecated==1.2.14 ; python_version >= "3.9" and python_version < "3.13"
+einops==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
+filelock==3.13.1 ; python_version >= "3.9" and python_version < "3.13"
+fsspec==2023.10.0 ; python_version >= "3.9" and python_version < "3.13"
+googleapis-common-protos==1.61.0 ; python_version >= "3.9" and python_version < "3.13"
+grpc-interceptor==0.15.4 ; python_version >= "3.9" and python_version < "3.13"
+grpcio-reflection==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+grpcio-status==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+grpcio==1.59.3 ; python_version >= "3.9" and python_version < "3.13"
+hf-transfer==0.1.4 ; python_version >= "3.9" and python_version < "3.13"
+huggingface-hub==0.16.4 ; python_version >= "3.9" and python_version < "3.13"
+idna==3.4 ; python_version >= "3.9" and python_version < "3.13"
+loguru==0.6.0 ; python_version >= "3.9" and python_version < "3.13"
+numpy==1.26.2 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-api==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp-proto-grpc==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp-proto-http==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-exporter-otlp==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-instrumentation-grpc==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-instrumentation==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-proto==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-sdk==1.15.0 ; python_version >= "3.9" and python_version < "3.13"
+opentelemetry-semantic-conventions==0.36b0 ; python_version >= "3.9" and python_version < "3.13"
+packaging==23.2 ; python_version >= "3.9" and python_version < "3.13"
+pillow==10.1.0 ; python_version >= "3.9" and python_version < "3.13"
+protobuf==4.25.1 ; python_version >= "3.9" and python_version < "3.13"
+pyyaml==6.0.1 ; python_version >= "3.9" and python_version < "3.13"
+regex==2023.10.3 ; python_version >= "3.9" and python_version < "3.13"
+requests==2.31.0 ; python_version >= "3.9" and python_version < "3.13"
+safetensors==0.3.3 ; python_version >= "3.9" and python_version < "3.13"
+scipy==1.11.4 ; python_version >= "3.9" and python_version < "3.13"
+sentencepiece==0.1.99 ; python_version >= "3.9" and python_version < "3.13"
+setuptools==69.0.2 ; python_version >= "3.9" and python_version < "3.13"
+tokenizers==0.13.3 ; python_version >= "3.9" and python_version < "3.13"
+tqdm==4.66.1 ; python_version >= "3.9" and python_version < "3.13"
+transformers==4.33.3 ; python_version >= "3.9" and python_version < "3.13"
+typer==0.6.1 ; python_version >= "3.9" and python_version < "3.13"
+typing-extensions==4.8.0 ; python_version >= "3.9" and python_version < "3.13"
+urllib3==2.1.0 ; python_version >= "3.9" and python_version < "3.13"
+win32-setctime==1.1.0 ; python_version >= "3.9" and python_version < "3.13" and sys_platform == "win32"
+wrapt==1.16.0 ; python_version >= "3.9" and python_version < "3.13"
diff --git a/server/text_generation_server/cli.py b/server/text_generation_server/cli.py
index 841c78828..ca293051d 100644
--- a/server/text_generation_server/cli.py
+++ b/server/text_generation_server/cli.py
@@ -137,6 +137,17 @@ def download_weights(
             if not extension == ".safetensors" or not auto_convert:
                 raise e
 
+    else:
+        # Try to load as a local PEFT model
+        try:
+            utils.download_and_unload_peft(
+                model_id, revision, trust_remote_code=trust_remote_code
+            )
+            utils.weight_files(model_id, revision, extension)
+            return
+        except (utils.LocalEntryNotFoundError, utils.EntryNotFoundError):
+            pass
+
     # Try to see if there are local pytorch weights
     try:
         # Get weights for a local model, a hub cached model and inside the WEIGHTS_CACHE_OVERRIDE
diff --git a/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py b/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
index 69608e1c5..4aeb447d9 100644
--- a/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_llama_modeling.py
@@ -26,9 +26,6 @@ from transformers.activations import ACT2FN
 from transformers.configuration_utils import PretrainedConfig
 from typing import Optional, List, Tuple
 
-# Flash attention imports
-import dropout_layer_norm
-
 from text_generation_server.utils import paged_attention, flash_attn
 from text_generation_server.utils.layers import (
     TensorParallelRowLinear,
@@ -38,6 +35,12 @@ from text_generation_server.utils.layers import (
     TensorParallelHead,
     get_linear,
 )
+from text_generation_server.utils.import_utils import IS_CUDA_SYSTEM, IS_ROCM_SYSTEM
+
+if IS_CUDA_SYSTEM:
+    import dropout_layer_norm
+elif IS_ROCM_SYSTEM:
+    from vllm import layernorm_ops
 
 
 class LlamaConfig(PretrainedConfig):
@@ -120,7 +123,7 @@ class LlamaRMSNorm(nn.Module):
                 hidden_states = hidden_states.to(self.weight.dtype)
 
             return self.weight * hidden_states, residual
-        else:
+        elif IS_CUDA_SYSTEM:
             # faster post attention rms norm
             normed_hidden_states, res, *rest = dropout_layer_norm.dropout_add_ln_fwd(
                 hidden_states,
@@ -143,6 +146,22 @@ class LlamaRMSNorm(nn.Module):
                 res = hidden_states
 
             return normed_hidden_states, res
+        elif IS_ROCM_SYSTEM:
+            # We use VLLM RMSNorm kernel that can be compiled for RoCm, instead of Flash Attention ones that can not.
+            if residual is not None:
+                hidden_states += residual
+            residual = hidden_states
+
+            out = torch.empty_like(hidden_states)
+            layernorm_ops.rms_norm(
+                out,
+                hidden_states,
+                self.weight.data,
+                self.variance_epsilon,
+            )
+            return out, residual
+        else:
+            raise ValueError("Your system seem to be not supported. Please check your install or open an issue at https://github.com/huggingface/text-generation-inference/issues with a clear reproduction.")
 
 
 def load_attention(config, prefix, weights):
@@ -204,9 +223,6 @@ class FlashLlamaAttention(torch.nn.Module):
         self.hidden_size = config.hidden_size
         self.head_size = self.hidden_size // self.num_heads
 
-        # self.rotary_emb = PositionRotaryEmbedding.load(
-        #     config=config, prefix=f"{prefix}.rotary_emb", weights=weights
-        # )
         self.rotary_emb = PositionRotaryEmbedding.static(
             config=config,
             dim=self.head_size,
@@ -261,9 +277,8 @@ class FlashLlamaAttention(torch.nn.Module):
         )
         query = query.view(-1, self.num_heads, self.head_size)
         kv = kv.view(-1, 2, self.num_key_value_heads, self.head_size)
-
-        self.rotary_emb(query, cos, sin)
-        self.rotary_emb(torch.select(kv, dim=1, index=0), cos, sin)
+        
+        self.rotary_emb(query, torch.select(kv, dim=1, index=0), cos, sin)
 
         paged_attention.reshape_and_cache(
             kv[:, 0], kv[:, 1], kv_cache[0], kv_cache[1], slots
@@ -297,7 +312,7 @@ class FlashLlamaAttention(torch.nn.Module):
                 input_lengths,
                 max_s,
             )
-
+        
         return self.o_proj(attn_output.view(-1, self.num_heads * self.head_size))
 
 
diff --git a/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py b/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py
index 2d731406b..959949f00 100644
--- a/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_mistral_modeling.py
@@ -26,11 +26,8 @@ from transformers.activations import ACT2FN
 from transformers.configuration_utils import PretrainedConfig
 from typing import Optional, List, Tuple
 
-# Flash attention imports
-import dropout_layer_norm
-
 from text_generation_server.utils import paged_attention, flash_attn
-from text_generation_server.utils.flash_attn import attention, HAS_FLASH_ATTN_V2
+from text_generation_server.utils.flash_attn import attention, HAS_FLASH_ATTN_V2_ROCM, HAS_FLASH_ATTN_V2_CUDA
 from text_generation_server.utils.layers import (
     TensorParallelRowLinear,
     TensorParallelColumnLinear,
@@ -39,8 +36,14 @@ from text_generation_server.utils.layers import (
     TensorParallelHead,
     get_linear,
 )
+from text_generation_server.utils.import_utils import IS_CUDA_SYSTEM, IS_ROCM_SYSTEM
 
-if not HAS_FLASH_ATTN_V2:
+if IS_CUDA_SYSTEM:
+    import dropout_layer_norm
+elif IS_ROCM_SYSTEM:
+    from vllm import layernorm_ops
+
+if not HAS_FLASH_ATTN_V2_CUDA and not HAS_FLASH_ATTN_V2_ROCM:
     raise ImportError("Mistral model requires flash attn v2")
 
 
@@ -126,7 +129,7 @@ class MistralRMSNorm(nn.Module):
                 hidden_states = hidden_states.to(self.weight.dtype)
 
             return self.weight * hidden_states, residual
-        else:
+        elif IS_CUDA_SYSTEM:
             # faster post attention rms norm
             normed_hidden_states, res, *rest = dropout_layer_norm.dropout_add_ln_fwd(
                 hidden_states,
@@ -149,6 +152,22 @@ class MistralRMSNorm(nn.Module):
                 res = hidden_states
 
             return normed_hidden_states, res
+        elif IS_ROCM_SYSTEM:
+            # We use VLLM RMSNorm kernel that can be compiled for RoCm, instead of Flash Attention ones that can not.
+            if residual is not None:
+                hidden_states += residual
+            residual = hidden_states
+
+            out = torch.empty_like(hidden_states)
+            layernorm_ops.rms_norm(
+                out,
+                hidden_states,
+                self.weight.data,
+                self.variance_epsilon,
+            )
+            return out, residual
+        else:
+            raise ValueError("Your system seem to be not supported. Please check your install or open an issue at https://github.com/huggingface/text-generation-inference/issues with a clear reproduction.")
 
 
 def load_attention(config, prefix, weights):
@@ -261,8 +280,7 @@ class MistralAttention(torch.nn.Module):
         query = query.view(-1, self.num_heads, self.head_size)
         kv = kv.view(-1, 2, self.num_key_value_heads, self.head_size)
 
-        self.rotary_emb(query, cos, sin)
-        self.rotary_emb(torch.select(kv, dim=1, index=0), cos, sin)
+        self.rotary_emb(query, torch.select(kv, dim=1, index=0), cos, sin)
 
         if prefill_cache_indices is not None:
             kv_to_cache = kv[prefill_cache_indices]
diff --git a/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py b/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py
index af4ba96b9..eea5f7877 100644
--- a/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_neox_modeling.py
@@ -135,8 +135,7 @@ class FlashNeoxAttention(torch.nn.Module):
         qkv = qkv.view(-1, 3, self.num_heads, self.head_size)
 
         # Inplace rotary
-        self.rotary_emb(qkv[:, 0], cos, sin)
-        self.rotary_emb(qkv[:, 1], cos, sin)
+        self.rotary_emb(qkv[:, 0], qkv[:, 1], cos, sin)
 
         paged_attention.reshape_and_cache(
             qkv[:, 1], qkv[:, 2], kv_cache[0], kv_cache[1], slots
diff --git a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
index 00f953a64..6a530f3c0 100644
--- a/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/flash_rw_modeling.py
@@ -185,8 +185,7 @@ class FlashRWAttention(torch.nn.Module):
         kv = kv.view(-1, 2, self.num_heads_kv, self.head_size)
 
         # Inplace rotary
-        self.rotary_emb(query, cos, sin)
-        self.rotary_emb(torch.select(kv, dim=1, index=0), cos, sin)
+        self.rotary_emb(query, torch.select(kv, dim=1, index=0), cos, sin)
 
         paged_attention.reshape_and_cache(
             kv[:, 0], kv[:, 1], kv_cache[0], kv_cache[1], slots
@@ -301,8 +300,7 @@ class FlashRWLargeAttention(torch.nn.Module):
         query = query.reshape(-1, self.num_groups * self.num_heads, self.head_size)
 
         # Inplace rotary
-        self.rotary_emb(query, cos, sin)
-        self.rotary_emb(torch.select(kv, dim=2, index=0), cos, sin)
+        self.rotary_emb(query, torch.select(kv, dim=2, index=0), cos, sin)
 
         paged_attention.reshape_and_cache(
             kv[:, :, 0].contiguous(),
diff --git a/server/text_generation_server/models/custom_modeling/idefics_modeling.py b/server/text_generation_server/models/custom_modeling/idefics_modeling.py
index 1ffe62760..946f76830 100644
--- a/server/text_generation_server/models/custom_modeling/idefics_modeling.py
+++ b/server/text_generation_server/models/custom_modeling/idefics_modeling.py
@@ -55,8 +55,12 @@ from text_generation_server.utils.layers import (
     PositionRotaryEmbedding,
     FastLinear,
 )
-import dropout_layer_norm
+from text_generation_server.utils.import_utils import IS_CUDA_SYSTEM, IS_ROCM_SYSTEM
 
+if IS_CUDA_SYSTEM:
+    import dropout_layer_norm
+elif IS_ROCM_SYSTEM:
+    from vllm import layernorm_ops
 
 @dataclass
 class BaseModelOutputWithPastImage(BaseModelOutputWithPast):
@@ -370,7 +374,7 @@ class IdeficsRMSNorm(nn.Module):
                 hidden_states = hidden_states.to(self.weight.dtype)
 
             return self.weight * hidden_states
-        else:
+        elif IS_CUDA_SYSTEM:
             # faster post attention rms norm
             unwrap = False
             if len(hidden_states.shape) > 2:
@@ -402,6 +406,32 @@ class IdeficsRMSNorm(nn.Module):
                 normed_hidden_states = normed_hidden_states.view(*shape)
 
             return normed_hidden_states
+        elif IS_ROCM_SYSTEM:
+            # We use VLLM RMSNorm kernel that can be compiled for RoCm, instead of Flash Attention ones that can not.
+            if residual is not None:
+                hidden_states += residual
+            residual = hidden_states
+
+            unwrap = False
+            if len(hidden_states.shape) > 2:
+                unwrap = True
+                shape = hidden_states.shape
+                hidden_states = hidden_states.reshape(-1, shape[-1])
+
+            out = torch.empty_like(hidden_states)
+            layernorm_ops.rms_norm(
+                out,
+                hidden_states,
+                self.weight.data,
+                self.variance_epsilon,
+            )
+
+            if unwrap:
+                out = out.view(*shape)
+
+            return out
+        else:
+            raise ValueError("Your system seem to be not supported. Please check your install or open an issue at https://github.com/huggingface/text-generation-inference/issues with a clear reproduction.")
 
 
 # this was adapted from LlamaMLP
@@ -581,15 +611,12 @@ class IdeficsAttention(nn.Module):
                 position_ids.view(-1), max_s, hidden_states.dtype
             )
 
-            shape = query_states.shape
-            query_states = self.rotary_emb(
-                query_states.view(-1, *shape[2:]), cos, sin
-            ).view(shape)
-
-            shape = key_states.shape
-            key_states = self.rotary_emb(
-                key_states.reshape(-1, *shape[2:]), cos, sin
-            ).view(shape)
+            query_shape = query_states.shape
+            key_shape = key_states.shape
+            self.rotary_emb(query_states.view(-1, *query_shape[2:]), key_states.reshape(-1, *key_shape[2:]), cos, sin)
+            
+            query_states = query_states.view(query_shape)
+            key_states = key_states.view(key_shape)
 
             query_states = query_states.transpose(1, 2)
             key_states = key_states.transpose(1, 2)
diff --git a/server/text_generation_server/models/idefics_causal_lm.py b/server/text_generation_server/models/idefics_causal_lm.py
index 2472caf62..dcad1fa98 100644
--- a/server/text_generation_server/models/idefics_causal_lm.py
+++ b/server/text_generation_server/models/idefics_causal_lm.py
@@ -583,7 +583,7 @@ class IdeficsCausalLM(Model):
 
         if torch.cuda.is_available():
             device = torch.device("cuda")
-            dtype = torch.float16 if dtype is None else dtype
+            dtype = torch.bfloat16 if dtype is None else dtype
         else:
             if quantize:
                 raise ValueError("quantization is not available on CPU")
diff --git a/server/text_generation_server/utils/flash_attn.py b/server/text_generation_server/utils/flash_attn.py
index 8f0fcee64..aca95e110 100644
--- a/server/text_generation_server/utils/flash_attn.py
+++ b/server/text_generation_server/utils/flash_attn.py
@@ -3,6 +3,8 @@ import torch
 
 from loguru import logger
 
+from text_generation_server.utils.import_utils import IS_CUDA_SYSTEM, IS_ROCM_SYSTEM
+
 if os.getenv("USE_FLASH_ATTENTION", "").lower() == "false":
     raise ImportError("`USE_FLASH_ATTENTION` is false.")
 
@@ -15,7 +17,8 @@ is_sm8x = major == 8 and minor >= 0
 is_sm90 = major == 9 and minor == 0
 
 HAS_FLASH_ATTN = False
-HAS_FLASH_ATTN_V2 = False
+HAS_FLASH_ATTN_V2_CUDA = False
+HAS_FLASH_ATTN_V2_ROCM = False
 try:
     try:
         import flash_attn_2_cuda
@@ -30,7 +33,8 @@ try:
             f"GPU with CUDA capability {major} {minor} is not supported for "
             "Flash Attention V2"
         )
-    HAS_FLASH_ATTN_V2 = True
+    HAS_FLASH_ATTN_V2_CUDA = IS_CUDA_SYSTEM
+    HAS_FLASH_ATTN_V2_ROCM = IS_ROCM_SYSTEM
 except ImportError as e:
     try:
         import flash_attn_cuda
@@ -41,10 +45,17 @@ except ImportError as e:
             "or install flash attention with `cd server && make install install-flash-attention`"
         ) from e
 
-    if not (is_sm75 or is_sm8x or is_sm90):
+    if IS_CUDA_SYSTEM and not (is_sm75 or is_sm8x or is_sm90):
         raise ImportError(
             f"GPU with CUDA capability {major} {minor} is not supported"
         ) from e
+    elif IS_ROCM_SYSTEM:
+        for idx in range(torch.cuda.device_count()):
+            if "MI210" not in torch.cuda.get_device_name(idx) and "MI250" not in torch.cuda.get_device_name(idx):
+                raise ImportError(
+                    f"AMD GPU {torch.cuda.get_device_name(idx)} does not support flash-attention"
+                )
+
     logger.warning(f"Unable to use Flash Attention V2: {e}")
     HAS_FLASH_ATTN = True
 
@@ -59,7 +70,7 @@ def attention(
     softmax_scale,
     window_size_left=-1,
 ):
-    if HAS_FLASH_ATTN_V2:
+    if HAS_FLASH_ATTN_V2_CUDA:
         return flash_attn_2_cuda.varlen_fwd(
             q,
             k,
@@ -78,8 +89,28 @@ def attention(
             False,
             None,
         )
-
-    if HAS_FLASH_ATTN:
+    elif HAS_FLASH_ATTN_V2_ROCM:
+        if window_size_left != -1:
+            raise ValueError(f"RoCm version of Flash Attention v2 does not support window attention (window_size_left != -1, got window_size_left={window_size_left}).")
+        
+        # RoCm flash API does not take the window_size_left and window_size_right arguments.
+        return flash_attn_2_cuda.varlen_fwd(
+            q,
+            k,
+            v,
+            out,
+            cu_seqlens,
+            cu_seqlens,
+            max_s,
+            max_s,
+            0.0,
+            softmax_scale,
+            False,
+            True,
+            False,
+            None,
+        )
+    elif HAS_FLASH_ATTN:
         if window_size_left != -1:
             raise NotImplementedError(
                 "window_size_left is only available with flash attn v2"
diff --git a/server/text_generation_server/utils/gptq/exllamav2.py b/server/text_generation_server/utils/gptq/exllamav2.py
new file mode 100644
index 000000000..1945338b1
--- /dev/null
+++ b/server/text_generation_server/utils/gptq/exllamav2.py
@@ -0,0 +1,191 @@
+# Adapted from turboderp exllama: https://github.com/turboderp/exllamav2
+
+from logging import getLogger
+
+import torch
+import torch.nn as nn
+import math
+
+logger = getLogger(__name__)
+
+try:
+    from exllamav2_kernels import make_q_matrix, gemm_half_q_half
+except ImportError:
+    logger.error('exllamav2_kernels not installed.')
+    raise
+
+# Dummy tensor to pass instead of g_idx since there is no way to pass "None" to a C++ extension
+none_tensor = torch.empty((1, 1), device="meta")
+
+def ext_gemm_half_q_half(x, q_handle, q4_width, force_cuda):
+    """Matrix multiplication, returns x @ q4"""
+    output_shape = x.shape[:-1] + (q4_width,)
+    x = x.view(-1, x.shape[-1])
+    output = torch.empty((x.shape[0], q4_width), dtype = torch.half, device = x.device)
+    gemm_half_q_half(x, q_handle, output, force_cuda)
+    return output.view(output_shape)
+
+def ext_make_q_matrix(w: dict, temp_dq, key: str = None):
+    """
+    Create Q matrix 
+    """
+    # EXL2
+    # won't work as the moment because the tensors are not the same. 
+    if "q_weight" in w:
+        w["q_scale_max"] /= 256
+        w["q_perm"] = w["q_perm"].short()
+        w["q_invperm"] = w["q_invperm"].short()
+        return make_q_matrix(w["q_weight"],
+                                w["q_perm"],
+                                w["q_invperm"],
+                                w["q_scale"],
+                                w["q_scale_max"],
+                                w["q_groups"],
+                                none_tensor,
+                                none_tensor,
+                                none_tensor,
+                                temp_dq)
+    # GPTQ
+    elif "qweight" in w:
+        if w["scales"].dtype == torch.float:
+            w["scales"] = w["scales"].half()
+
+        # GPTQ with g_idx (act_order)
+        if w.get("g_idx", None) is not None and not (w["g_idx"] == 0).all().item():
+            w["q_perm"] = torch.empty((w["qweight"].shape[0] * 8,), dtype = torch.short, device = w["qweight"].device)
+            w["q_invperm"] = torch.empty_like(w["q_perm"])
+            # make_q4 segfaults if g_idx is not on cpu in the act-order case. In the non act-order case, None needs to be passed for g_idx.
+            return make_q_matrix(w["qweight"],
+                                 w["q_perm"],
+                                 w["q_invperm"],
+                                 none_tensor,
+                                 none_tensor,
+                                 none_tensor,
+                                 w["qzeros"],
+                                 w["scales"],
+                                 w["g_idx"].cpu(),
+                                 temp_dq)
+        # GPTQ without g_idx
+        else:
+            return make_q_matrix(w["qweight"],
+                                none_tensor,
+                                none_tensor,
+                                none_tensor,
+                                none_tensor,
+                                none_tensor,
+                                w["qzeros"],
+                                w["scales"],
+                                none_tensor,
+                                temp_dq)
+
+DEVICE = None
+FIXED_BYTES = 0
+LAYERS = []
+
+
+def set_device(device):
+    global DEVICE
+    DEVICE = device
+
+
+def create_exllama_buffers():
+    global FIXED_BYTES, LAYERS, DEVICE
+    temp_dq = ExLlamaV2DeviceTensors(DEVICE, FIXED_BYTES)
+
+    for layer in LAYERS:
+        layer.post_init(temp_dq)
+
+
+class QuantLinear(nn.Module):
+    QUANT_TYPE = "exllamav2"
+
+    """Linear layer implementation with per-group 4-bit quantization of the weights"""
+
+    # def __init__(self, bits, group_size, infeatures, outfeatures, bias, trainable=False, **kwargs):
+    def __init__(self, qweight, qzeros, scales, g_idx, bias, bits, groupsize):
+        super().__init__()
+        if bits != 4:
+            raise ValueError(
+                f"Exllamav2 kernel supports only bits=4, requested bits={bits}. Something is wrong in the model initialization.")
+        self.q_handle = None
+        self.q_tensors = None
+        self.bits = bits
+        self.maxq = 2 ** self.bits - 1
+        self.infeatures = qweight.shape[0] // self.bits * 32
+        self.outfeatures = qweight.shape[1]
+        self.padding = - self.outfeatures % 32
+        self.outfeatures = self.outfeatures + self.padding
+
+        self.device = qweight.device
+        self.qweight = qweight
+        self.qzeros = qzeros
+        self.scales = scales
+        self.g_idx = g_idx
+        self.bias = bias if bias is not None else None
+        self.group_size = groupsize
+
+        infeatures = self.infeatures
+        outfeatures = self.outfeatures
+        assert qweight.shape == (infeatures // 32 * self.bits, outfeatures)
+        assert infeatures % self.group_size == 0
+        assert qzeros.shape == (infeatures // self.group_size, outfeatures // 32 * self.bits)
+        assert scales.shape == (infeatures // self.group_size, outfeatures)
+        assert g_idx.shape == (infeatures, ), f"{g_idx.shape}, {infeatures}"
+
+        global FIXED_BYTES, LAYERS
+        FIXED_BYTES = max(FIXED_BYTES, self.scratch_space_fixed())
+        LAYERS.append(self)
+
+    def post_init(self, temp_dq):
+        assert self.qweight.device.type == "cuda"
+        assert self.qweight.device.index is not None
+        self.q_tensors = {
+            "qweight":self.qweight,
+            "qzeros":self.qzeros,
+            "scales":self.scales,
+            "g_idx":self.g_idx
+        }
+        temp_dq = temp_dq.get_scratch_slice(self.temp_dq_size())
+        self.q_handle = ext_make_q_matrix(
+            self.q_tensors, temp_dq
+        )
+    
+    def forward(self, x, force_cuda = False):
+        output = ext_gemm_half_q_half(x, self.q_handle, self.outfeatures, force_cuda)
+
+        if self.bias is not None:
+            output.add_(self.bias)
+        return output
+    
+    def temp_dq_size(self):
+        return self.infeatures * self.outfeatures * 2 + 128
+    
+    def temp_fwd_size(self, max_input_len, max_batch_size):
+        return self.outfeatures * max_input_len * max_batch_size * 4 + 128
+    
+    def scratch_space_fixed(self, max_input_len=4096, max_batch_size=16):
+        return self.temp_dq_size() + self.temp_fwd_size(max_input_len, max_batch_size)
+               
+    
+class ExLlamaV2DeviceTensors:
+
+    device_idx: int
+    scratch_bytes: int
+    scratch_idx: int
+    scratch: torch.tensor = None
+
+    def __init__(self, device, scratch_bytes):
+        self.device = device
+        self.scratch_bytes = scratch_bytes
+    
+    def prepare(self):
+        self.scratch = torch.empty((self.scratch_bytes // 2,), dtype = torch.half, device = self.device)
+
+    def get_scratch_slice(self, size_bytes):
+
+        if self.scratch is None: self.prepare()
+
+        size_bytes = ((size_bytes + 127) // 128) * 128
+        size_half = size_bytes // 2
+        scratch_slice = self.scratch.narrow(0, 0, size_half)
+        return scratch_slice
diff --git a/server/text_generation_server/utils/import_utils.py b/server/text_generation_server/utils/import_utils.py
new file mode 100644
index 000000000..428c9f3ef
--- /dev/null
+++ b/server/text_generation_server/utils/import_utils.py
@@ -0,0 +1,4 @@
+import torch
+
+IS_ROCM_SYSTEM = torch.version.hip is not None
+IS_CUDA_SYSTEM = torch.version.cuda is not None
diff --git a/server/text_generation_server/utils/layers.py b/server/text_generation_server/utils/layers.py
index 7bb95dd21..a93ccd0eb 100644
--- a/server/text_generation_server/utils/layers.py
+++ b/server/text_generation_server/utils/layers.py
@@ -12,14 +12,13 @@ HAS_BITS_AND_BYTES = True
 try:
     import bitsandbytes as bnb
     from bitsandbytes.nn import Int8Params, Params4bit
-
 except ImportError:
     HAS_BITS_AND_BYTES = False
 
 from accelerate import init_empty_weights
 
 from text_generation_server.utils.gptq.quant_linear import QuantLinear
-
+from text_generation_server.utils.import_utils import IS_CUDA_SYSTEM, IS_ROCM_SYSTEM 
 
 HAS_AWQ = True
 try:
@@ -31,15 +30,31 @@ try:
     major, _minor = torch.cuda.get_device_capability()
 except Exception:
     major = 1
+
 HAS_EXLLAMA = False
 CAN_EXLLAMA = major >= 8
+V2 = os.getenv("EXLLAMA_VERSION", "2") == "2"
+if V2 and int(os.getenv("WORLD_SIZE", "1")) > 1:
+    logger.warning("Disabling exllama v2 and using v1 instead because there are issues when sharding")
+    V2 = False
+
 if os.getenv("DISABLE_EXLLAMA") == "True":
     HAS_EXLLAMA = False
 elif CAN_EXLLAMA:
     try:
-        from text_generation_server.utils.gptq.exllama import Ex4bitLinear
+        if V2:
+            from text_generation_server.utils.gptq.exllamav2 import (QuantLinear as ExllamaQuantLinear, 
+                    create_exllama_buffers,
+                    set_device,
+                                                                     )
+            HAS_EXLLAMA = "2"
+        else:
+            from text_generation_server.utils.gptq.exllama import (Ex4bitLinear as ExllamaQuantLinear,
+                    create_exllama_buffers,
+                    set_device,
+                )
+            HAS_EXLLAMA = "1"
 
-        HAS_EXLLAMA = True
     except ImportError:
         pass
 
@@ -308,7 +323,7 @@ def get_linear(weight, bias, quantize):
             )
 
         if use_exllama:
-            linear = Ex4bitLinear(qweight, qzeros, scales, g_idx, bias, bits, groupsize)
+            linear = ExllamaQuantLinear(qweight, qzeros, scales, g_idx, bias, bits, groupsize)
         else:
             linear = QuantLinear(
                 qweight,
@@ -509,11 +524,14 @@ class TensorParallelEmbedding(nn.Module):
 
 
 try:
-    import dropout_layer_norm
+    if IS_CUDA_SYSTEM:
+        import dropout_layer_norm
+    else:
+        dropout_layer_norm = None
 
     class FastLayerNorm(nn.LayerNorm):
         def forward(self, hidden_states, residual=None):
-            if hidden_states.shape[-1] > 8192:
+            if hidden_states.shape[-1] > 8192 or IS_ROCM_SYSTEM:
                 if residual is not None:
                     hidden_states += residual
                 residual = hidden_states
@@ -545,14 +563,16 @@ try:
                     residual = hidden_states
 
                 return normed_hidden_states, residual
-
 except ImportError:
     pass
 
 
 try:
-    from flash_attn.layers.rotary import RotaryEmbedding
-    import rotary_emb
+    if IS_CUDA_SYSTEM:
+        from flash_attn.layers.rotary import RotaryEmbedding
+        import rotary_emb
+    elif IS_ROCM_SYSTEM:
+        from vllm import pos_encoding_ops
 
     def _create_inv_freq(dim, base, device):
         inv_freq = 1.0 / (
@@ -581,6 +601,37 @@ try:
             self.scaling_factor = scaling_factor
             self.dynamic_args = None
 
+        def forward(self, query: torch.Tensor, key: torch.Tensor, cos: torch.Tensor, sin: torch.Tensor):
+            # Such controlflows may add some overhead.
+            if IS_CUDA_SYSTEM:
+                rotary_dim = cos.shape[-1]
+                q1 = query[..., :rotary_dim]
+                q2 = query[..., rotary_dim : 2 * rotary_dim]
+
+                rotary_emb.apply_rotary(q1, q2, cos, sin, q1, q2, False)
+
+                k1 = key[..., :rotary_dim]
+                k2 = key[..., rotary_dim : 2 * rotary_dim]
+
+                rotary_emb.apply_rotary(k1, k2, cos, sin, k1, k2, False)
+            elif IS_ROCM_SYSTEM:
+                # NOTE: On RoCm systems, we use a ROPE implementatation adapted from VLLM which launches a single kernel for both query/key, contrary to flash-attn implementation used on NVIDIA systems.
+                # Compiling flash-attn rotary on RoCm, it appears hipcc is unable to unroll loops, resulting in an even slower inference compared to eager: https://github.com/pytorch/pytorch/issues/113773
+
+                head_size = query.shape[-1]
+
+                # Inplace operation, updating query and key.
+                pos_encoding_ops.rotary_embedding(
+                    query,
+                    key,
+                    head_size,
+                    cos,
+                    sin,
+                    True
+                )
+            else:
+                raise ValueError("Your system seem to be not supported. Please check your install or open an issue at https://github.com/huggingface/text-generation-inference/issues with a clear reproduction.")
+
         @classmethod
         def static(cls, config, dim, base, device):
             inv_freq = _create_inv_freq(dim, base, device)
@@ -683,21 +734,19 @@ try:
             """
             Return cos and sin for the asked position ids
             """
+            if IS_ROCM_SYSTEM:
+                # For RoCm, we always use float cos/sin to avoid a cast.
+                # For NVIDIA, for some reason, the flash-attn rotary kernel requires cos/sin and query/key to be of same dtype: https://github.com/Dao-AILab/flash-attention/blob/017716451d446e464dde9aca3a3c1ed2209caaa9/csrc/rotary/rotary.cpp#L26
+                # But later on goes and cast cos/sin to float anyway: https://github.com/Dao-AILab/flash-attention/blob/017716451d446e464dde9aca3a3c1ed2209caaa9/csrc/rotary/rotary_cuda.cu#L29, which looks suboptimal.
+                dtype = torch.float32
 
             self._update_cos_sin_cache(dtype, position_ids.device, max_s)
 
             cos = torch.index_select(self._cos_cached, 0, position_ids)
             sin = torch.index_select(self._sin_cached, 0, position_ids)
+            # Note: this unsqueeze is not necessary on RoCm + VLLM ROPE implementation, but we leave it as is to avoid yet an other controlflow.
             return cos.unsqueeze(1), sin.unsqueeze(1)
 
-        def forward(self, x: torch.Tensor, cos: torch.Tensor, sin: torch.Tensor):
-            rotary_dim = cos.shape[-1]
-            x1 = x[..., :rotary_dim]
-            x2 = x[..., rotary_dim : 2 * rotary_dim]
-
-            rotary_emb.apply_rotary(x1, x2, cos, sin, x1, x2, False)
-            return x
-
     class DynamicPositionRotaryEmbedding(PositionRotaryEmbedding):
         def __init__(self, dim, max_position_embeddings, base, device, scaling_factor):
             inv_freq = _create_inv_freq(dim, base, device)
@@ -706,7 +755,7 @@ try:
             self.max_position_embeddings = max_position_embeddings
             self.base = base
 
-        def _update_cos_sin_cache(self, dtype, device, seqlen):
+        def _update_cos_sin_cache(self, dtype, device, seqlen):            
             # Reset the tables if the sequence length has changed,
             # or if we're on a new device (possibly due to tracing for instance)
             if (
diff --git a/server/text_generation_server/utils/peft.py b/server/text_generation_server/utils/peft.py
index e37447dcc..d37e89401 100644
--- a/server/text_generation_server/utils/peft.py
+++ b/server/text_generation_server/utils/peft.py
@@ -38,7 +38,7 @@ def download_and_unload_peft(model_id, revision, trust_remote_code):
     os.makedirs(model_id, exist_ok=True)
     cache_dir = model_id
     logger.info(f"Saving the newly created merged model to {cache_dir}")
-    tokenizer = AutoTokenizer.from_pretrained(base_model_id)
+    tokenizer = AutoTokenizer.from_pretrained(base_model_id, trust_remote_code=trust_remote_code)
     model.save_pretrained(cache_dir, safe_serialization=True)
     model.config.save_pretrained(cache_dir)
     tokenizer.save_pretrained(cache_dir)
diff --git a/server/text_generation_server/utils/weights.py b/server/text_generation_server/utils/weights.py
index 2f330d9c8..f33449887 100644
--- a/server/text_generation_server/utils/weights.py
+++ b/server/text_generation_server/utils/weights.py
@@ -278,23 +278,13 @@ class Weights:
                         )
                     use_exllama = False
                 else:
-                    logger.info("Using exllama kernels")
+                    logger.info(f"Using exllama kernels v{HAS_EXLLAMA}")
 
             if use_exllama:
-                if groupsize >= 0:
-                    # Exllama reorders the weights in advance and the activations on the fly, thus
-                    # the scales and zero-points do not need to be reordered.
-                    qzeros = self.get_sharded(f"{prefix}.qzeros", dim=0)
-                    scales = self.get_sharded(f"{prefix}.scales", dim=0)
-                else:
-                    qzeros = self.get_tensor(f"{prefix}.qzeros")
-                    scales = self.get_tensor(f"{prefix}.scales")
-
-                # For tp > 1, at this point we know we do not use act-order
-                if self.process_group.size() == 1:
-                    g_idx = self.get_tensor(f"{prefix}.g_idx")
-                else:
-                    g_idx = None
+                qzeros = self.get_sharded(f"{prefix}.qzeros", dim=0)
+                scales = self.get_sharded(f"{prefix}.scales", dim=0)
+                g_idx = self.get_sharded(f"{prefix}.g_idx", dim= 0)
+                g_idx = g_idx - g_idx[0]
             else:
                 # The triton kernel reorders the scales/zero points instead of the weight/activation.
                 # Thus, each rank needs the full qzeros/scales.