From af1ed38f39dd550610badfd371830607115df7cc Mon Sep 17 00:00:00 2001
From: Merve Noyan <merveenoyan@gmail.com>
Date: Thu, 7 Sep 2023 17:22:06 +0300
Subject: [PATCH 1/2] Safetensors conceptual guide (#905)

IDK what else to add in this guide, I looked for relevant code in TGI
codebase and saw that it's used in quantization as well (maybe I could
add that?)
---
 docs/source/_toctree.yml              | 2 ++
 docs/source/conceptual/safetensors.md | 7 +++++++
 2 files changed, 9 insertions(+)
 create mode 100644 docs/source/conceptual/safetensors.md

diff --git a/docs/source/_toctree.yml b/docs/source/_toctree.yml
index 6a8baaf6..d37446b1 100644
--- a/docs/source/_toctree.yml
+++ b/docs/source/_toctree.yml
@@ -21,6 +21,8 @@
 - sections:
   - local: conceptual/streaming
     title: Streaming
+  - local: conceptual/safetensors
+    title: Safetensors
   - local: conceptual/flash_attention
     title: Flash Attention
   title: Conceptual Guides
diff --git a/docs/source/conceptual/safetensors.md b/docs/source/conceptual/safetensors.md
new file mode 100644
index 00000000..fcc31bac
--- /dev/null
+++ b/docs/source/conceptual/safetensors.md
@@ -0,0 +1,7 @@
+# Safetensors
+
+Safetensors is a model serialization format for deep learning models. It is [faster](https://huggingface.co/docs/safetensors/speed) and safer compared to other serialization formats like pickle (which is used under the hood in many deep learning libraries). 
+
+TGI depends on safetensors format mainly to enable [tensor parallelism sharding](./tensor_parallelism). For a given model repository during serving, TGI looks for safetensors weights. If there are no safetensors weights, TGI converts the PyTorch weights to safetensors format. 
+
+You can learn more about safetensors by reading the [safetensors documentation](https://huggingface.co/docs/safetensors/index).
\ No newline at end of file

From 0a63e9ab688cf715d31574ee5bb31025ff22ceec Mon Sep 17 00:00:00 2001
From: Nicolas Patry <patry.nicolas@protonmail.com>
Date: Thu, 7 Sep 2023 17:36:30 +0200
Subject: [PATCH 2/2] Fix __call__ vs forward. (#993)

# What does this PR do?

Fix __call__ vs forward.

To reproduce error just launch:
TheBloke/WizardLM-Uncensored-Falcon-7B-GPTQ with gptq (it fails because
falcon code uses `__call__` instead for `forward` calls)

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Fixes # (issue)


## Before submitting
- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Did you read the [contributor
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      Pull Request section?
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      to it if that's the case.
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---
 server/text_generation_server/utils/gptq/exllama.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/server/text_generation_server/utils/gptq/exllama.py b/server/text_generation_server/utils/gptq/exllama.py
index 6a1cf117..7353afb5 100644
--- a/server/text_generation_server/utils/gptq/exllama.py
+++ b/server/text_generation_server/utils/gptq/exllama.py
@@ -69,10 +69,11 @@ def create_exllama_buffers():
     TEMP_STATE, TEMP_DQ = temp_state, temp_dq
 
 
-class Ex4bitLinear:
+class Ex4bitLinear(torch.nn.Module):
     """Linear layer implementation with per-group 4-bit quantization of the weights"""
 
     def __init__(self, qweight, qzeros, scales, g_idx, bias, bits, groupsize):
+        super().__init__()
         global MAX_DQ, MAX_INNER, ACT_ORDER, DEVICE
         assert bits == 4