huggingface/text-generation-inference
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Update README with Docker image v2.0.5

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regisss 2024-09-07 17:56:52 +00:00
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README.md
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@ -33,7 +33,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
1. Pull the official Docker image with:
```bash
docker pull ghcr.io/huggingface/tgi-gaudi:2.0.4
docker pull ghcr.io/huggingface/tgi-gaudi:2.0.5
```
> [!NOTE]
> Alternatively, you can build the Docker image using the `Dockerfile` located in this folder with:
@ -48,7 +48,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
hf_token=YOUR_ACCESS_TOKEN
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e HUGGING_FACE_HUB_TOKEN=$hf_token -e ENABLE_HPU_GRAPH=true -e LIMIT_HPU_GRAPH=true -e USE_FLASH_ATTENTION=true -e FLASH_ATTENTION_RECOMPUTE=true --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.4 --model-id $model --max-input-tokens 1024 --max-total-tokens 2048
docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e HUGGING_FACE_HUB_TOKEN=$hf_token -e ENABLE_HPU_GRAPH=true -e LIMIT_HPU_GRAPH=true -e USE_FLASH_ATTENTION=true -e FLASH_ATTENTION_RECOMPUTE=true --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.5 --model-id $model --max-input-tokens 1024 --max-total-tokens 2048
```
> For gated models such as [StarCoder](https://huggingface.co/bigcode/starcoder), you will have to pass `-e HUGGING_FACE_HUB_TOKEN=<token>` to the `docker run` command above with a valid Hugging Face Hub read token.
@ -58,7 +58,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
hf_token=YOUR_ACCESS_TOKEN
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e PT_HPU_LAZY_MODE=0 -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e HUGGING_FACE_HUB_TOKEN=$hf_token --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.4 --model-id $model --max-input-tokens 1024 --max-total-tokens 2048
docker run -p 8080:80 -v $volume:/data --runtime=habana -e HABANA_VISIBLE_DEVICES=all -e PT_HPU_LAZY_MODE=0 -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e HUGGING_FACE_HUB_TOKEN=$hf_token --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.5 --model-id $model --max-input-tokens 1024 --max-total-tokens 2048
```
iii. On 8 Gaudi cards:
@ -67,7 +67,7 @@ To use [🤗 text-generation-inference](https://github.com/huggingface/text-gene
hf_token=YOUR_ACCESS_TOKEN
volume=$PWD/data # share a volume with the Docker container to avoid downloading weights every run
docker run -p 8080:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e HUGGING_FACE_HUB_TOKEN=$hf_token -e ENABLE_HPU_GRAPH=true -e LIMIT_HPU_GRAPH=true -e USE_FLASH_ATTENTION=true -e FLASH_ATTENTION_RECOMPUTE=true --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.4 --model-id $model --sharded true --num-shard 8 --max-input-tokens 1024 --max-total-tokens 2048
docker run -p 8080:80 -v $volume:/data --runtime=habana -e PT_HPU_ENABLE_LAZY_COLLECTIVES=true -e HABANA_VISIBLE_DEVICES=all -e OMPI_MCA_btl_vader_single_copy_mechanism=none -e HUGGING_FACE_HUB_TOKEN=$hf_token -e ENABLE_HPU_GRAPH=true -e LIMIT_HPU_GRAPH=true -e USE_FLASH_ATTENTION=true -e FLASH_ATTENTION_RECOMPUTE=true --cap-add=sys_nice --ipc=host ghcr.io/huggingface/tgi-gaudi:2.0.5 --model-id $model --sharded true --num-shard 8 --max-input-tokens 1024 --max-total-tokens 2048
```
3. You can then send a simple request:
```bash
@ -137,7 +137,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--max-input-length 1024 --max-total-tokens 2048 \
--max-batch-prefill-tokens 2048 --max-batch-total-tokens 65536 \
@ -169,7 +169,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--sharded true --num-shard 8 \
--max-input-length 1024 --max-total-tokens 2048 \
@ -201,7 +201,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--max-input-length 1024 --max-total-tokens 2048 \
--max-batch-prefill-tokens 2048 --max-batch-total-tokens 65536 \
@ -233,7 +233,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--sharded true --num-shard 8 \
--max-input-length 1024 --max-total-tokens 2048 \
@ -265,7 +265,7 @@ docker run -p 8080:80 \
-e BATCH_BUCKET_SIZE=1 \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--max-input-tokens 4096 --max-batch-prefill-tokens 16384 \
--max-total-tokens 8192 --max-batch-total-tokens 32768
@ -316,7 +316,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--max-input-length 1024 --max-total-tokens 2048 \
--max-batch-prefill-tokens 2048 --max-batch-total-tokens 65536 \
@ -351,7 +351,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--sharded true --num-shard 8 \
--max-input-length 1024 --max-total-tokens 2048 \
@ -387,7 +387,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--max-input-length 1024 --max-total-tokens 2048 \
--max-batch-prefill-tokens 2048 --max-batch-total-tokens 65536 \
@ -422,7 +422,7 @@ docker run -p 8080:80 \
-e FLASH_ATTENTION_RECOMPUTE=true \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--sharded true --num-shard 8 \
--max-input-length 1024 --max-total-tokens 2048 \
@ -455,7 +455,7 @@ docker run -p 8080:80 \
-e BATCH_BUCKET_SIZE=1 \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--max-input-tokens 4096 --max-batch-prefill-tokens 16384 \
--max-total-tokens 8192 --max-batch-total-tokens 32768
@ -486,7 +486,7 @@ docker run -p 8080:80 \
-e BATCH_BUCKET_SIZE=1 \
--cap-add=sys_nice \
--ipc=host \
ghcr.io/huggingface/tgi-gaudi:2.0.4 \
ghcr.io/huggingface/tgi-gaudi:2.0.5 \
--model-id $model \
--sharded true --num-shard 8 \
--max-input-tokens 4096 --max-batch-prefill-tokens 16384 \