From e0dc53817e98f3755cc463016e5d52f8320fcaf2 Mon Sep 17 00:00:00 2001 From: "westmakaha@yahoo.com" Date: Wed, 15 Nov 2023 09:39:49 -0700 Subject: [PATCH 01/12] docker containers initial commit --- docker/cuda/cuda121/.dockerignore | 0 docker/cuda/cuda121/Dockerfile | 23 +++++++++++++ docker/cuda/cuda121/buildimage.sh | 3 ++ docker/cuda/cuda121bundled/.dockerignore | 1 + docker/cuda/cuda121bundled/Dockerfile | 7 ++++ docker/cuda/cuda121bundled/buildimage.sh | 3 ++ docker/rocm/rocm57/Dockerfile | 22 ++++++++++++ docker/rocm/rocm57/buildimage.sh | 3 ++ docker/rocm/rocm57bundled/.dockerignore | 1 + docker/rocm/rocm57bundled/Dockerfile | 7 ++++ docker/rocm/rocm57bundled/buildimage.sh | 3 ++ docker/test/sample_client_for-testing.py | 44 ++++++++++++++++++++++++ docker/test/startcuda.sh | 1 + docker/test/startllamacudabundled.sh | 1 + docker/test/startllamarocmbundled.sh | 1 + docker/test/startredpajamacuda.sh | 1 + docker/test/startredpajamarocm.sh | 1 + docker/test/startrocm.sh | 1 + 18 files changed, 123 insertions(+) create mode 100644 docker/cuda/cuda121/.dockerignore create mode 100644 docker/cuda/cuda121/Dockerfile create mode 100755 docker/cuda/cuda121/buildimage.sh create mode 100644 docker/cuda/cuda121bundled/.dockerignore create mode 100644 docker/cuda/cuda121bundled/Dockerfile create mode 100755 docker/cuda/cuda121bundled/buildimage.sh create mode 100644 docker/rocm/rocm57/Dockerfile create mode 100755 docker/rocm/rocm57/buildimage.sh create mode 100644 docker/rocm/rocm57bundled/.dockerignore create mode 100644 docker/rocm/rocm57bundled/Dockerfile create mode 100755 docker/rocm/rocm57bundled/buildimage.sh create mode 100644 docker/test/sample_client_for-testing.py create mode 100755 docker/test/startcuda.sh create mode 100755 docker/test/startllamacudabundled.sh create mode 100755 docker/test/startllamarocmbundled.sh create mode 100755 docker/test/startredpajamacuda.sh create mode 100755 docker/test/startredpajamarocm.sh create mode 100755 docker/test/startrocm.sh diff --git a/docker/cuda/cuda121/.dockerignore b/docker/cuda/cuda121/.dockerignore new file mode 100644 index 0000000000..e69de29bb2 diff --git a/docker/cuda/cuda121/Dockerfile b/docker/cuda/cuda121/Dockerfile new file mode 100644 index 0000000000..9a81c29b97 --- /dev/null +++ b/docker/cuda/cuda121/Dockerfile @@ -0,0 +1,23 @@ +# NOTE: This Dockerfile is based on CUDA 12.1. +# To benchmark on other CUDA versions, search and replace "12.1" and "121". +FROM nvidia/cuda:12.1.1-devel-ubuntu22.04 + +ENV MLC_PATH /mlcllm + +# setup python 3 and pip, load the mlc-ai nightlies + +RUN apt update && \ + apt install --yes python3 pip && \ + pip install --pre --force-reinstall -f https://mlc.ai/wheels \ + mlc-ai-nightly-cu121 mlc-chat-nightly-cu121 &&\ + mkdir -p $MLC_PATH + +VOLUME ${MLC_PATH} + +WORKDIR ${MLC_PATH} + +ENTRYPOINT ["python3", "-m", "mlc_chat.rest"] + +CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "cuda", "--host", "0.0.0.0", "--port", "8000"] + + diff --git a/docker/cuda/cuda121/buildimage.sh b/docker/cuda/cuda121/buildimage.sh new file mode 100755 index 0000000000..1456862d91 --- /dev/null +++ b/docker/cuda/cuda121/buildimage.sh @@ -0,0 +1,3 @@ +docker build --no-cache -t mlc-cuda121:v0.1 -f ./Dockerfile . + + diff --git a/docker/cuda/cuda121bundled/.dockerignore b/docker/cuda/cuda121bundled/.dockerignore new file mode 100644 index 0000000000..8b13789179 --- /dev/null +++ b/docker/cuda/cuda121bundled/.dockerignore @@ -0,0 +1 @@ + diff --git a/docker/cuda/cuda121bundled/Dockerfile b/docker/cuda/cuda121bundled/Dockerfile new file mode 100644 index 0000000000..051ed55f36 --- /dev/null +++ b/docker/cuda/cuda121bundled/Dockerfile @@ -0,0 +1,7 @@ +FROM mlc-cuda121:v0.1 +ADD fixedmodel ./fixedmodel +WORKDIR ./fixedmodel + +CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "cuda", "--host", "0.0.0.0", "--port", "8000"] + + diff --git a/docker/cuda/cuda121bundled/buildimage.sh b/docker/cuda/cuda121bundled/buildimage.sh new file mode 100755 index 0000000000..6c51e8ffad --- /dev/null +++ b/docker/cuda/cuda121bundled/buildimage.sh @@ -0,0 +1,3 @@ +docker build -t llama2cuda121:v0.1 -f ./Dockerfile . + + diff --git a/docker/rocm/rocm57/Dockerfile b/docker/rocm/rocm57/Dockerfile new file mode 100644 index 0000000000..0e425c81c6 --- /dev/null +++ b/docker/rocm/rocm57/Dockerfile @@ -0,0 +1,22 @@ +# NOTE: This Dockerfile is based on ROCm 5.7 +FROM rocm/dev-ubuntu-22.04:5.7-complete + +ENV MLC_PATH /mlcllm + +# setup python 3 and pip, load the mlc-ai nightlies + +RUN apt update && \ + apt install --yes python3 pip && \ + pip install --pre --force-reinstall -f https://mlc.ai/wheels \ + mlc-ai-nightly-rocm57 mlc-chat-nightly-rocm57 &&\ + mkdir -p $MLC_PATH + +VOLUME ${MLC_PATH} + +WORKDIR ${MLC_PATH} + +ENTRYPOINT ["python3", "-m", "mlc_chat.rest"] + +CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "rocm", "--host", "0.0.0.0", "--port", "8000"] + + diff --git a/docker/rocm/rocm57/buildimage.sh b/docker/rocm/rocm57/buildimage.sh new file mode 100755 index 0000000000..76943efd78 --- /dev/null +++ b/docker/rocm/rocm57/buildimage.sh @@ -0,0 +1,3 @@ +docker build --no-cache -t mlc-rocm57:v0.1 -f ./Dockerfile . + + diff --git a/docker/rocm/rocm57bundled/.dockerignore b/docker/rocm/rocm57bundled/.dockerignore new file mode 100644 index 0000000000..8b13789179 --- /dev/null +++ b/docker/rocm/rocm57bundled/.dockerignore @@ -0,0 +1 @@ + diff --git a/docker/rocm/rocm57bundled/Dockerfile b/docker/rocm/rocm57bundled/Dockerfile new file mode 100644 index 0000000000..12f1d8575f --- /dev/null +++ b/docker/rocm/rocm57bundled/Dockerfile @@ -0,0 +1,7 @@ +FROM mlc-rocm57:v0.1 +ADD fixedmodel ./fixedmodel +WORKDIR ./fixedmodel + +CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "rocm", "--host", "0.0.0.0", "--port", "8000"] + + diff --git a/docker/rocm/rocm57bundled/buildimage.sh b/docker/rocm/rocm57bundled/buildimage.sh new file mode 100755 index 0000000000..ddbd77cd45 --- /dev/null +++ b/docker/rocm/rocm57bundled/buildimage.sh @@ -0,0 +1,3 @@ +docker build -t llama2rocm57:v0.1 -f ./Dockerfile . + + diff --git a/docker/test/sample_client_for-testing.py b/docker/test/sample_client_for-testing.py new file mode 100644 index 0000000000..aa4f05c06b --- /dev/null +++ b/docker/test/sample_client_for-testing.py @@ -0,0 +1,44 @@ +import requests +import json + +class color: + PURPLE = '\033[95m' + CYAN = '\033[96m' + DARKCYAN = '\033[36m' + BLUE = '\033[94m' + GREEN = '\033[92m' + YELLOW = '\033[93m' + RED = '\033[91m' + BOLD = '\033[1m' + UNDERLINE = '\033[4m' + END = '\033[0m' + +# Get a response using a prompt without streaming +payload = { + "model": "vicuna-v1-7b", + "messages": [{"role": "user", "content": "Write a haiku"}], + "stream": False +} +r = requests.post("http://127.0.0.1:8000/v1/chat/completions", json=payload) +print(f"{color.BOLD}Without streaming:{color.END}\n{color.GREEN}{r.json()['choices'][0]['message']['content']}{color.END}\n") + +# Reset the chat +r = requests.post("http://127.0.0.1:8000/chat/reset", json=payload) +print(f"{color.BOLD}Reset chat:{color.END} {str(r)}\n") + +# Get a response using a prompt with streaming +payload = { + "model": "vicuna-v1-7b", + "messages": [{"role": "user", "content": "Write a haiku"}], + "stream": True +} +with requests.post("http://127.0.0.1:8000/v1/chat/completions", json=payload, stream=True) as r: + print(f"{color.BOLD}With streaming:{color.END}") + for chunk in r: + content = json.loads(chunk[6:])["choices"][0]["delta"].get("content", "") + print(f"{color.GREEN}{content}{color.END}", end="", flush=True) + print("\n") + +# Get the latest runtime stats +r = requests.get("http://127.0.0.1:8000/stats") +print(f"{color.BOLD}Runtime stats:{color.END} {r.json()}\n") diff --git a/docker/test/startcuda.sh b/docker/test/startcuda.sh new file mode 100755 index 0000000000..11b39dfcc8 --- /dev/null +++ b/docker/test/startcuda.sh @@ -0,0 +1 @@ +docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 diff --git a/docker/test/startllamacudabundled.sh b/docker/test/startllamacudabundled.sh new file mode 100755 index 0000000000..08d75299ea --- /dev/null +++ b/docker/test/startllamacudabundled.sh @@ -0,0 +1 @@ +docker run --gpus all --network host --rm llama2cuda121:v0.1 diff --git a/docker/test/startllamarocmbundled.sh b/docker/test/startllamarocmbundled.sh new file mode 100755 index 0000000000..a38d728892 --- /dev/null +++ b/docker/test/startllamarocmbundled.sh @@ -0,0 +1 @@ +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host llama2rocm57:v0.1 diff --git a/docker/test/startredpajamacuda.sh b/docker/test/startredpajamacuda.sh new file mode 100755 index 0000000000..19d447181d --- /dev/null +++ b/docker/test/startredpajamacuda.sh @@ -0,0 +1 @@ +docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 --model RedPajama-INCITE-Chat-3B-v1-q4f16_1 --device cuda --host 0.0.0.0 --port 8000 diff --git a/docker/test/startredpajamarocm.sh b/docker/test/startredpajamarocm.sh new file mode 100755 index 0000000000..7344d5138d --- /dev/null +++ b/docker/test/startredpajamarocm.sh @@ -0,0 +1 @@ +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host -v ./mlcllm:/mlcllm mlc-rocm57:v0.1 --model RedPajama-INCITE-Chat-3B-v1-q4f16_1 --device rocm --host 0.0.0.0 --port 8000 diff --git a/docker/test/startrocm.sh b/docker/test/startrocm.sh new file mode 100755 index 0000000000..69c8309910 --- /dev/null +++ b/docker/test/startrocm.sh @@ -0,0 +1 @@ +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host -v ./mlcllm:/mlcllm mlc-rocm57:v0.1 From 6f275b89d8f5fa84be70af71e44f315b84927b08 Mon Sep 17 00:00:00 2001 From: "westmakaha@yahoo.com" Date: Wed, 15 Nov 2023 09:45:47 -0700 Subject: [PATCH 02/12] add directory hierachy and libs --- .../lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so | Bin 0 -> 47728416 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so | Bin 0 -> 39048912 bytes .../lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so | Bin 0 -> 43290696 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so | Bin 0 -> 17965160 bytes ...edPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so | Bin 0 -> 12596440 bytes .../lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so | Bin 0 -> 47728416 bytes .../lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so | Bin 0 -> 43290696 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so | Bin 0 -> 39048912 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so | Bin 0 -> 17965160 bytes ...edPajama-INCITE-Chat-3B-v1-q4f16_1-cuda.so | Bin 0 -> 15636760 bytes ...edPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so | Bin 0 -> 12596440 bytes 11 files changed, 0 insertions(+), 0 deletions(-) create mode 100755 docker/cuda/cuda121bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so create mode 100755 docker/cuda/cuda121bundled/fixedmodel/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so create mode 100755 docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so create mode 100755 docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so create mode 100755 docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/RedPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so create mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so create mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so create mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so create mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so create mode 100755 docker/test/mlcllm/dist/prebuilt/lib/RedPajama-INCITE-Chat-3B-v1-q4f16_1-cuda.so create mode 100755 docker/test/mlcllm/dist/prebuilt/lib/RedPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so diff 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Here is a haiku for you: - -Respectful and true -Honest and helpful assistant -Serving with grace - -Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s -``` - -See the `test` subfolder for examples of these scripts. diff --git a/docker/rocm/rocm57/Dockerfile b/docker/rocm/rocm57/Dockerfile index 0e425c81c6..d917c268a8 100644 --- a/docker/rocm/rocm57/Dockerfile +++ b/docker/rocm/rocm57/Dockerfile @@ -6,17 +6,16 @@ ENV MLC_PATH /mlcllm # setup python 3 and pip, load the mlc-ai nightlies RUN apt update && \ - apt install --yes python3 pip && \ - pip install --pre --force-reinstall -f https://mlc.ai/wheels \ - mlc-ai-nightly-rocm57 mlc-chat-nightly-rocm57 &&\ + apt install --yes python3.11 pip git git-lfs && \ + pip install --pre -U -f https://mlc.ai/wheels \ + mlc-llm-nightly-rocm57 mlc-ai-nightly-rocm57 &&\ mkdir -p $MLC_PATH VOLUME ${MLC_PATH} WORKDIR ${MLC_PATH} -ENTRYPOINT ["python3", "-m", "mlc_chat.rest"] - -CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "rocm", "--host", "0.0.0.0", "--port", "8000"] +ENTRYPOINT ["mlc_llm"] +CMD ["chat", "HF://mlc-ai/Llama-2-7b-chat-hf-q4f32_1-MLC"] diff --git a/docker/rocm/rocm57/README.md b/docker/rocm/rocm57/README.md new file mode 100644 index 0000000000..1613c34589 --- /dev/null +++ b/docker/rocm/rocm57/README.md @@ -0,0 +1,7 @@ +## Base mlc_llm docker image for ROCm 5.7 systems + +Make sure you perform: + +`sh ./buildimage.sh` + +This will build the base docker image for ROCm 5.7, from the latest nightly. The resulting image will be on your local registry, you can further push the image to any deployment registry. The image size will be very large (about 28.1GB) since it includes all ROCm toolkit and support libraries, diff --git a/docker/rocm/rocm57/buidimage.sh b/docker/rocm/rocm57/buidimage.sh new file mode 100644 index 0000000000..9fd401d819 --- /dev/null +++ b/docker/rocm/rocm57/buidimage.sh @@ -0,0 +1 @@ +docker build --no-cache -t mlcllmrocm57:v0.1 -f ./Dockerfile . diff --git a/docker/rocm/rocm57/buildimage.sh b/docker/rocm/rocm57/buildimage.sh deleted file mode 100755 index 76943efd78..0000000000 --- a/docker/rocm/rocm57/buildimage.sh +++ /dev/null @@ -1,3 +0,0 @@ -docker build --no-cache -t mlc-rocm57:v0.1 -f ./Dockerfile . - - diff --git a/docker/rocm/rocm57bundled/.dockerignore b/docker/rocm/rocm57bundled/.dockerignore deleted file mode 100644 index 8b13789179..0000000000 --- a/docker/rocm/rocm57bundled/.dockerignore +++ /dev/null @@ -1 +0,0 @@ - diff --git a/docker/rocm/rocm57bundled/Dockerfile b/docker/rocm/rocm57bundled/Dockerfile deleted file mode 100644 index 12f1d8575f..0000000000 --- a/docker/rocm/rocm57bundled/Dockerfile +++ /dev/null @@ -1,7 +0,0 @@ -FROM mlc-rocm57:v0.1 -ADD fixedmodel ./fixedmodel -WORKDIR ./fixedmodel - -CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "rocm", "--host", "0.0.0.0", "--port", "8000"] - - diff --git a/docker/rocm/rocm57bundled/README.md b/docker/rocm/rocm57bundled/README.md deleted file mode 100644 index b6d1fc6fe3..0000000000 --- a/docker/rocm/rocm57bundled/README.md +++ /dev/null @@ -1,62 +0,0 @@ -### Combining weights and library of a model into a mega-sized container image - -#### Pre-requisites - -This container will ONLY run on: - -* System with AMD GPUs supporting the specified ROCm version(s) -* System already with the latest [ROCm supporting drivers and libraries](https://rocm.docs.amd.com/en/latest/rocm.html) installed and tested. - -They will not run on any other system, or on systems with unsupported AMD GPUs. - - -#### Quick start - -Before building the image, you MUST place the associated weights and library of the model into the `fixedmodel` directory. - -1. place the weights into the `fixedmodel/dist/prebuilt` folder (the default example is for Llama-2-7b-chat-hf-q4f16_1 and `mlc-chat-Llama-2-7b-chat-hf-q4f16_1` from huggingface should be `git cloned` here) -2. place the library into `fixedmodel/dist/prebuilt/lib` folder (in the case of rocm57 for llama2 7b q4f16_1, it will be `Llama-2-7b-chat-hf-q4f16_1-rocm.so`) - -Make sure there is no extra files littering under the `fixedmodel` directory hierachy, as _everything_ under this directory will be added into the container image. - -Build the image: - -``` -cd rocm57bundled -sh ./buildimage.sh -``` - -This will create the `llama2rocm57` bundled image. You can then push it to your local or public registry for deployment. - -To run it you will use: - -``` -docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host llama2rocm57:v0.1 -``` - -By default the container will listen to `port 8000` of the host machine for REST API calls. - -You can use the python script in the `test` subfolder to test your container: - -``` -$ python sample_client_for-testing.py -Without streaming: -Of course! Here is a haiku for you: - -Sun sets slowly down -Golden hues upon the sea -Peaceful evening sky - -Reset chat: - -With streaming: -Of course! Here is a haiku for you: - -Respectful and true -Honest and helpful assistant -Serving with grace - -Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s -``` - -See the `test` subfolder for examples of these scripts. diff --git a/docker/rocm/rocm57bundled/buildimage.sh b/docker/rocm/rocm57bundled/buildimage.sh deleted file mode 100755 index ddbd77cd45..0000000000 --- a/docker/rocm/rocm57bundled/buildimage.sh +++ /dev/null @@ -1,3 +0,0 @@ -docker build -t llama2rocm57:v0.1 -f ./Dockerfile . - - diff --git a/docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so b/docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so deleted file mode 100755 index a1f4544dce714bdb0f84e1e98ab149af877aa6e4..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 43290696 zcmeF42YeOfw)O*pgd#g4Y7ms5QL!N)p~V0j5)B%p7bybLJ3>%8gb+1uu~EdXs0gA* 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zejj9{UcW}`N8dT#FXag%8G}F{xn6(l?w(~h9)By(fSpLdiJE`cFqqMrUvJ1=e*;?C)2ZD>ukW0{pS;=TAJ2vQ z$n`w#t=D(R8XLXEUjLb2#LsXYQS)o&oiX#==Qdb5EZKSZ-rsd<4X1Z_Rim*=uirs_ yufg0#%707cKlTs%dQ*w9_XN7z@3vn#jQ9N~>nFc%lD&T0{p|Hebr|lTjsFLt&TSh2 diff --git a/docker/test/sample_client_for-testing.py b/docker/test/sample_client_for-testing.py index aa4f05c06b..4466a3fe43 100644 --- a/docker/test/sample_client_for-testing.py +++ b/docker/test/sample_client_for-testing.py @@ -15,30 +15,31 @@ class color: # Get a response using a prompt without streaming payload = { - "model": "vicuna-v1-7b", - "messages": [{"role": "user", "content": "Write a haiku"}], +# "model": "HF://mlc-ai/gemma-2b-it-q4f16_1-MLC", + "model": "HF://mlc-ai/Mistral-7B-Instruct-v0.2-q4f16_1-MLC", + "messages": [{"role": "user", "content": "write a haiku"}], "stream": False } r = requests.post("http://127.0.0.1:8000/v1/chat/completions", json=payload) print(f"{color.BOLD}Without streaming:{color.END}\n{color.GREEN}{r.json()['choices'][0]['message']['content']}{color.END}\n") -# Reset the chat -r = requests.post("http://127.0.0.1:8000/chat/reset", json=payload) -print(f"{color.BOLD}Reset chat:{color.END} {str(r)}\n") -# Get a response using a prompt with streaming payload = { - "model": "vicuna-v1-7b", - "messages": [{"role": "user", "content": "Write a haiku"}], +# "model": "HF://mlc-ai/gemma-2b-it-q4f16_1-MLC", + "model": "HF://mlc-ai/Mistral-7B-Instruct-v0.2-q4f16_1-MLC", + "messages": [{"role": "user", "content": "Write a 500 words essay about the civil war"}], "stream": True } + +print(f"{color.BOLD}With streaming:{color.END}") with requests.post("http://127.0.0.1:8000/v1/chat/completions", json=payload, stream=True) as r: - print(f"{color.BOLD}With streaming:{color.END}") - for chunk in r: - content = json.loads(chunk[6:])["choices"][0]["delta"].get("content", "") - print(f"{color.GREEN}{content}{color.END}", end="", flush=True) - print("\n") + for chunk in r.iter_content(chunk_size=None): + chunk = chunk.decode("utf-8") + if "[DONE]" in chunk[6:]: + break + response = json.loads(chunk[6:]) + content = response["choices"][0]["delta"].get("content", "") + print(f"{color.GREEN}{content}{color.END}", end="", flush=True) + +print("\n") -# Get the latest runtime stats -r = requests.get("http://127.0.0.1:8000/stats") -print(f"{color.BOLD}Runtime stats:{color.END} {r.json()}\n") diff --git a/docker/test/startcuda.sh b/docker/test/startcuda.sh deleted file mode 100755 index 11b39dfcc8..0000000000 --- a/docker/test/startcuda.sh +++ /dev/null @@ -1 +0,0 @@ -docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 diff --git a/docker/test/startllamacudabundled.sh b/docker/test/startllamacudabundled.sh deleted file mode 100755 index 08d75299ea..0000000000 --- a/docker/test/startllamacudabundled.sh +++ /dev/null @@ -1 +0,0 @@ -docker run --gpus all --network host --rm llama2cuda121:v0.1 diff --git a/docker/test/startllamarocmbundled.sh b/docker/test/startllamarocmbundled.sh deleted file mode 100755 index a38d728892..0000000000 --- a/docker/test/startllamarocmbundled.sh +++ /dev/null @@ -1 +0,0 @@ -docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host llama2rocm57:v0.1 diff --git a/docker/test/startredpajamacuda.sh b/docker/test/startredpajamacuda.sh deleted file mode 100755 index 19d447181d..0000000000 --- a/docker/test/startredpajamacuda.sh +++ /dev/null @@ -1 +0,0 @@ -docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 --model RedPajama-INCITE-Chat-3B-v1-q4f16_1 --device cuda --host 0.0.0.0 --port 8000 diff --git a/docker/test/startredpajamarocm.sh b/docker/test/startredpajamarocm.sh deleted file mode 100755 index 7344d5138d..0000000000 --- a/docker/test/startredpajamarocm.sh +++ /dev/null @@ -1 +0,0 @@ -docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host -v ./mlcllm:/mlcllm mlc-rocm57:v0.1 --model RedPajama-INCITE-Chat-3B-v1-q4f16_1 --device rocm --host 0.0.0.0 --port 8000 diff --git a/docker/test/startrocm.sh b/docker/test/startrocm.sh deleted file mode 100755 index 69c8309910..0000000000 --- a/docker/test/startrocm.sh +++ /dev/null @@ -1 +0,0 @@ -docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host -v ./mlcllm:/mlcllm mlc-rocm57:v0.1

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zejj9{UcW}`N8dT#FXag%8G}F{xn6(l?w(~h9)By(fSpLdiJE`cFqqMrUvJ1=e*;?C)2ZD>ukW0{pS;=TAJ2vQ z$n`w#t=D(R8XLXEUjLb2#LsXYQS)o&oiX#==Qdb5EZKSZ-rsd<4X1Z_Rim*=uirs_ yufg0#%707cKlTs%dQ*w9_XN7z@3vn#jQ9N~>nFc%lD&T0{p|Hebr|lTjsFLt&TSh2 diff --git a/docker/test/README.md b/docker/test/README.md new file mode 100644 index 0000000000..c8584a1857 --- /dev/null +++ b/docker/test/README.md @@ -0,0 +1,8 @@ +## Tests for mlc_llm `serve` + +The simple test programs for REST API serving (including function calling / tools pattern) when using mlc_llm `serve` with any of the 100s of supported models. + +|Test name|Description| +|------------|---------------| +|`sample_client_for-testing.py`|Calls completion REST API once without streaming, and then again with streaming, and displays the output. Make sure you modify the `payload` LLM name field to match the actually LLM you are testing.| +|`functionall.py`|Actual function calling example utilizing OpenAI compatible API _tools_ field. Make sure you modify the `payload` LLM name field to match the actually LLM you are testing. This example will only work with models fine-tuned for function calling, including many Mixtral/Mistral derivatives.| diff --git a/docker/test/functioncall.py b/docker/test/functioncall.py new file mode 100644 index 0000000000..41faead01b --- /dev/null +++ b/docker/test/functioncall.py @@ -0,0 +1,41 @@ +import requests +import json + +tools = [ + { + "type": "function", + "function": { + "name": "get_current_weather", + "description": "Get the current weather in a given location", + "parameters": { + "type": "object", + "properties": { + "location": { + "type": "string", + "description": "The city and state, e.g. San Francisco, CA", + }, + "unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, + }, + "required": ["location"], + }, + }, + } +] + +payload = { + "model": "HF://mlc-ai/gorilla-openfunctions-v2-q4f16_1-MLC", +# "model": "HF://mlc-ai/gemma-2b-it-q4f16_1-MLC", + "messages": [ + { + "role": "user", + "content": "What is the current weather in Pittsburgh, PA in fahrenheit?", + } + ], + "stream": False, + "tools": tools, +} + +r = requests.post("http://127.0.0.1:8000/v1/chat/completions", json=payload) +print(f"{r.json()['choices'][0]['message']['tool_calls'][0]['function']}\n") + +# Output: {'name': 'get_current_weather', 'arguments': {'location': 'Pittsburgh, PA', 'unit': 'fahrenheit'}} diff --git a/docker/test/mlcllm/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so b/docker/test/mlcllm/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so deleted file mode 100755 index a0b514d64425a29910a0f2b40adaaaf05137c6cb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 47728416 zcmeFa2Y3}_xAq?pBp|OlDhMh{P!LqqfJBfOAecZRiF5%0141a$A!z7{A!^)4v7o4^ zhz&b->@)=t0kKd-DK;Y58)D(R?{%-)I~(EspSPUz{m=Oh*A@0!zvr3RGqazy)>GEZ z%*e>@P`Og2xZvL*ac$zLwM!6b=LLyvH&%8ru3cQKxa#;nF|NMVtr8R*;B#Y0F!+q~ z{qj4ivdH!QKg*BQF$JGNIjMbLlFH-u`z*ZZ13S*(v*LD#V%q`NZLsnIcg21#_T3d8 z!h^y;KQ310c4K|JvA$jK*~PaDKI6G9{_z<3*UG-_ub&NB3IBpm*5$u0pXCpxyl9k; 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zejj9{UcW}`N8dT#FXag%8G}F{xn6(l?w(~h9)By(fSpLdiJE`cFqqMrUvJ1=e*;?C)2ZD>ukW0{pS;=TAJ2vQ z$n`w#t=D(R8XLXEUjLb2#LsXYQS)o&oiX#==Qdb5EZKSZ-rsd<4X1Z_Rim*=uirs_ yufg0#%707cKlTs%dQ*w9_XN7z@3vn#jQ9N~>nFc%lD&T0{p|Hebr|lTjsFLt&TSh2 literal 0 HcmV?d00001 From a19a197ce8dc61c98a7ce1b35ac00b016e14cefa Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 12:31:00 -0700 Subject: [PATCH 03/12] Add containers README.md --- docker/README.md | 60 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 60 insertions(+) create mode 100644 docker/README.md diff --git a/docker/README.md b/docker/README.md new file mode 100644 index 0000000000..2ee993df04 --- /dev/null +++ b/docker/README.md @@ -0,0 +1,60 @@ +## Containers for mlc-llm REST API + +A set of docker container templates for your scaled production deployment of GPU-accelerated mlc-llms. Based on the work in the [LLM Performance Benchmark](https://github.com/mlc-ai/llm-perf-bench) project. + +These containers are designed to be: + +* minimalist - nothing non-essential is included; you can layer on your own security policy for example +* non-opinionated - use CNCF k8s or docker compose or swarm or whatever you have for orchestration +* adaptive and composable - nobody knows what you intend to do with these containers, and we don't guess +* compatible - with multi-GPU support maturing and batching still in testing, these containers should suvive upcoming changes without needing to be severely revamped. +* practical NOW - usable and deployable TODAY with 2023/2024 level hardware and mlc-ai + +### Structure + +Containers are segregated by GPU acceleration stacks. See the README of the sub-folders for more information +``` +cuda +|-- cuda121 +|-- cuda121bundled + +rocm +|-- rocm37 +|-- rocm37bundled + +test +``` +#### Community contribution + +This structure enables the greater community to easily contribute new tested templates for other cuda and rocm releases, for example. + +#### Bundled for greatly improved UX + +Having the weights and library seperated for each and every model powers great flexibility but makes for a horrandous user experience. + +The `bundled` variants of the containers include both weights and the library for a model inside the single mega-sized image. It is actually constructed based on the non-bundled image (composable), it just "add weights and the lib" to the image. + +Users of such images can simply decide to run "llama2 7b on cuda 12.1" and in a few seconds pull down an image onto their workstation running AI apps served by Llama 2 already GPU accelerated. + +The tradeoff here is the storage requirement, and possibly network bandwidth during deployment. + +Here is a glimpse of what the size difference between bundled vs unbundled version. (7.7 GB for the q4f16 llama2 weights, for example) + +``` +REPOSITORY TAG IMAGE ID CREATED SIZE +llama2rocm57 v0.1 249adf862921 3 minutes ago 27.7GB +mlc-rocm57 v0.1 f4b7894e8724 3 hours ago 20GB +``` +Ultimately mlc-ai may decide to publish on its public Docker Hub some images of bundled popular models (such as mistral 7b on cuda 121 and rocm37) to enhance "out of box" UX for the project. + +##### Loss of flexibility? + +There is no flexibility loss in deploying bundled containers because, as least for 2023/2024 hardware. The research community is working on multi-requests based on batching. This means that once the weights of a massive LLM is loaded into GPU VRAM, it ain't moving. Instead inference requests are batched against the loaded LLM for concurrent processing. The "GPU to LLM" mapping will remain static. + +#### Unbundled containers + +Non-bundled container is coded by default to serve _llama2 7b q4f16_, but you can change the command line during `docker run` to have it serve any supported mlc-llms. Yes, you will have to download the weights and build the library yourself and place them in the docker mounted volume. See `red pajama` examples in the `test` directory. + +#### Tests +Tests are made global to conserve storage. + From 894551b53f8adabd16b946475150051980eced84 Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:00:46 -0700 Subject: [PATCH 04/12] Add cuda README.md --- docker/cuda/README.md | 65 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 65 insertions(+) create mode 100644 docker/cuda/README.md diff --git a/docker/cuda/README.md b/docker/cuda/README.md new file mode 100644 index 0000000000..300817eb08 --- /dev/null +++ b/docker/cuda/README.md @@ -0,0 +1,65 @@ +#### Pre-requisites + +These containers will ONLY run on: + +* System with Nvidia GPUs supporting the specified CUDA version(s) +* System installed and tested with [NVidia Container Runtime](https://developer.nvidia.com/nvidia-container-runtime) + +They will not run on any other system, or on systems with unsupported Nvidia GPUs. + + +#### Quick start + +Build the image: + +``` +cd cuda121 +sh ./buildimage.sh +``` + +This will create the `mlc-cuda121` image. You can then push it to your local or public registry for deployment. + +To run it you will use: + +``` +docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 +``` + +This will mount the `./mlcllm` directoy into the container. Before running, you must place the model's weights into `mlcllm/dist/prebuild` and the library into `mlcllm/dist/prebuild/lib`. + +By default, the `llama2 7b q4f16` model is expected. + +But you can easily change the model that will be served by adding options to the command line (running red pajama 3b q4f16 instead): + +``` +docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 --model RedPajama-INCITE-Chat-3B-v1-q4f16_1 --device cuda --host 0.0.0.0 --port 8000 +``` + +By default the container will listen to `port 8000` of the host machine for REST API calls. + +You can use the python script in the `test` subfolder to test your container: + +``` +$ python sample_client_for-testing.py +Without streaming: +Of course! Here is a haiku for you: + +Sun sets slowly down +Golden hues upon the sea +Peaceful evening sky + +Reset chat: + +With streaming: +Of course! Here is a haiku for you: + +Respectful and true +Honest and helpful assistant +Serving with grace + +Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s +``` + +See the `test` subfolder for examples of these scripts. + + From c0c9254b415aba1be12342bb90fe4606f5855c39 Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:09:17 -0700 Subject: [PATCH 05/12] Add ROCm README.md --- docker/rocm/README.md | 63 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 63 insertions(+) create mode 100644 docker/rocm/README.md diff --git a/docker/rocm/README.md b/docker/rocm/README.md new file mode 100644 index 0000000000..f8f3736bb9 --- /dev/null +++ b/docker/rocm/README.md @@ -0,0 +1,63 @@ +#### Pre-requisites + +These containers will ONLY run on: + +* System with AMD GPUs supporting the specified ROCm version(s) +* System already with the latest [ROCm supporting drivers and libraries](https://rocm.docs.amd.com/en/latest/rocm.html) installed and tested. + +They will not run on any other system, or on systems with unsupported AMD GPUs. + + +#### Quick start + +Build the image: + +``` +cd rocm57 +sh ./buildimage.sh +``` + +This will create the `mlc-rocm57` image. You can then push it to your local or public registry for deployment. + +To run it you will use: + +``` +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host -v ./mlcllm:/mlcllm mlc-rocm57:v0.1 +``` + +This will mount the `./mlcllm` directoy into the container. Before running, you must place the model's weights into `mlcllm/dist/prebuild` and the library into `mlcllm/dist/prebuild/lib`. + +By default, the `llama2 7b q4f16` model is expected.c + +But you can easily change the model that will be served by adding options to the command line (running red pajama 3b q4f16 instead): + +``` +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host -v ./mlcllm:/mlcllm mlc-rocm57:v0.1 --model RedPajama-INCITE-Chat-3B-v1-q4f16_1 --device rocm --host 0.0.0.0 --port 8000 +``` + +By default the container will listen to `port 8000` of the host machine for REST API calls. + +You can use the python script in the `test` subfolder to test your container: + +``` +$ python sample_client_for-testing.py +Without streaming: +Of course! Here is a haiku for you: + +Sun sets slowly down +Golden hues upon the sea +Peaceful evening sky + +Reset chat: + +With streaming: +Of course! Here is a haiku for you: + +Respectful and true +Honest and helpful assistant +Serving with grace + +Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s +``` + +See the `test` subfolder for examples of these scripts. From 5a84746609bbfd9b0bb0af6cae872d9312b0a612 Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:09:40 -0700 Subject: [PATCH 06/12] Update README.md --- docker/rocm/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/rocm/README.md b/docker/rocm/README.md index f8f3736bb9..65126f47ac 100644 --- a/docker/rocm/README.md +++ b/docker/rocm/README.md @@ -27,7 +27,7 @@ docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfine This will mount the `./mlcllm` directoy into the container. Before running, you must place the model's weights into `mlcllm/dist/prebuild` and the library into `mlcllm/dist/prebuild/lib`. -By default, the `llama2 7b q4f16` model is expected.c +By default, the `llama2 7b q4f16` model is expected. But you can easily change the model that will be served by adding options to the command line (running red pajama 3b q4f16 instead): From a00b4e3617f21f146c19e602382aa8609c6d8c63 Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:21:20 -0700 Subject: [PATCH 07/12] Add cuda bundled README.md --- docker/cuda/cuda121bundled/README.md | 60 ++++++++++++++++++++++++++++ 1 file changed, 60 insertions(+) create mode 100644 docker/cuda/cuda121bundled/README.md diff --git a/docker/cuda/cuda121bundled/README.md b/docker/cuda/cuda121bundled/README.md new file mode 100644 index 0000000000..324f8bfba2 --- /dev/null +++ b/docker/cuda/cuda121bundled/README.md @@ -0,0 +1,60 @@ +### Combining weights and library of a model into a mega-sized container image + +#### Pre-requisites + +These containers will ONLY run on: + +* System with Nvidia GPUs supporting the specified CUDA version(s) +* System installed and tested with [NVidia Container Runtime](https://developer.nvidia.com/nvidia-container-runtime) + +They will not run on any other system, or on systems with unsupported Nvidia GPUs. + + +#### Quick start + +Before building the image, you MUST place the associated weights and library of the model into the `fixedmodel` directory. + +1. place the weights into the `fixedmodel/dist/prebuilt` folder (the default example is for Llama-2-7b-chat-hf-q4f16_1 and `mlc-chat-Llama-2-7b-chat-hf-q4f16_1` from huggingface should be `git cloned` here) +2. place the library into `fixedmodel/dist/prebuilt/lib` folder (in the case of cuda121 for llama2 7b q4f16_1, it will be `Llama-2-7b-chat-hf-q4f16_1-cuda.so`) + +Build the image: + +``` +cd cuda121bundled +sh ./buildimage.sh +``` + +This will create the `llama2cuda121` bundled image. You can then push it to your local or public registry for deployment. + +To run it you will use: + +``` +docker run --gpus all --network host --rm llama2cuda121:v0.1 +``` + +By default the container will listen to `port 8000` of the host machine for REST API calls. + +You can use the python script in the `test` subfolder to test your container: + +``` +$ python sample_client_for-testing.py +Without streaming: +Of course! Here is a haiku for you: + +Sun sets slowly down +Golden hues upon the sea +Peaceful evening sky + +Reset chat: + +With streaming: +Of course! Here is a haiku for you: + +Respectful and true +Honest and helpful assistant +Serving with grace + +Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s +``` + +See the `test` subfolder for examples of these scripts. From 6d0eea41d9c154b372b60da009689fb61e125839 Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:22:00 -0700 Subject: [PATCH 08/12] Update README.md --- docker/cuda/cuda121bundled/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/cuda/cuda121bundled/README.md b/docker/cuda/cuda121bundled/README.md index 324f8bfba2..fce76b6063 100644 --- a/docker/cuda/cuda121bundled/README.md +++ b/docker/cuda/cuda121bundled/README.md @@ -2,7 +2,7 @@ #### Pre-requisites -These containers will ONLY run on: +This container will ONLY run on: * System with Nvidia GPUs supporting the specified CUDA version(s) * System installed and tested with [NVidia Container Runtime](https://developer.nvidia.com/nvidia-container-runtime) From c355381ae9abe32654d8c75abf338bada343b4fc Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:23:41 -0700 Subject: [PATCH 09/12] Update README.md --- docker/cuda/cuda121bundled/README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/docker/cuda/cuda121bundled/README.md b/docker/cuda/cuda121bundled/README.md index fce76b6063..c0ce009ae0 100644 --- a/docker/cuda/cuda121bundled/README.md +++ b/docker/cuda/cuda121bundled/README.md @@ -17,6 +17,8 @@ Before building the image, you MUST place the associated weights and library of 1. place the weights into the `fixedmodel/dist/prebuilt` folder (the default example is for Llama-2-7b-chat-hf-q4f16_1 and `mlc-chat-Llama-2-7b-chat-hf-q4f16_1` from huggingface should be `git cloned` here) 2. place the library into `fixedmodel/dist/prebuilt/lib` folder (in the case of cuda121 for llama2 7b q4f16_1, it will be `Llama-2-7b-chat-hf-q4f16_1-cuda.so`) +Make sure there is no extra files littering under the `fixedmodel` directory hierachy, as _everything_ under this directory will be added into the container image. + Build the image: ``` From db66ca8b3e2d87e74b2f3f719baf15cac5e301b9 Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:29:06 -0700 Subject: [PATCH 10/12] Add rocm57bundled README.md --- docker/rocm/rocm57bundled/README.md | 62 +++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 docker/rocm/rocm57bundled/README.md diff --git a/docker/rocm/rocm57bundled/README.md b/docker/rocm/rocm57bundled/README.md new file mode 100644 index 0000000000..240842872f --- /dev/null +++ b/docker/rocm/rocm57bundled/README.md @@ -0,0 +1,62 @@ +### Combining weights and library of a model into a mega-sized container image + +#### Pre-requisites + +These containers will ONLY run on: + +* System with AMD GPUs supporting the specified ROCm version(s) +* System already with the latest [ROCm supporting drivers and libraries](https://rocm.docs.amd.com/en/latest/rocm.html) installed and tested. + +They will not run on any other system, or on systems with unsupported AMD GPUs. + + +#### Quick start + +Before building the image, you MUST place the associated weights and library of the model into the `fixedmodel` directory. + +1. place the weights into the `fixedmodel/dist/prebuilt` folder (the default example is for Llama-2-7b-chat-hf-q4f16_1 and `mlc-chat-Llama-2-7b-chat-hf-q4f16_1` from huggingface should be `git cloned` here) +2. place the library into `fixedmodel/dist/prebuilt/lib` folder (in the case of rocm57 for llama2 7b q4f16_1, it will be `Llama-2-7b-chat-hf-q4f16_1-rocm.so`) + +Make sure there is no extra files littering under the `fixedmodel` directory hierachy, as _everything_ under this directory will be added into the container image. + +Build the image: + +``` +cd rocm57bundled +sh ./buildimage.sh +``` + +This will create the `llama2rocm57` bundled image. You can then push it to your local or public registry for deployment. + +To run it you will use: + +``` +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host llama2rocm57:v0.1 +``` + +By default the container will listen to `port 8000` of the host machine for REST API calls. + +You can use the python script in the `test` subfolder to test your container: + +``` +$ python sample_client_for-testing.py +Without streaming: +Of course! Here is a haiku for you: + +Sun sets slowly down +Golden hues upon the sea +Peaceful evening sky + +Reset chat: + +With streaming: +Of course! Here is a haiku for you: + +Respectful and true +Honest and helpful assistant +Serving with grace + +Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s +``` + +See the `test` subfolder for examples of these scripts. From 7116647ff4ba20aba44439ae91be7bc00b31e831 Mon Sep 17 00:00:00 2001 From: SingLi Date: Wed, 15 Nov 2023 13:29:23 -0700 Subject: [PATCH 11/12] Update README.md --- docker/rocm/rocm57bundled/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docker/rocm/rocm57bundled/README.md b/docker/rocm/rocm57bundled/README.md index 240842872f..b6d1fc6fe3 100644 --- a/docker/rocm/rocm57bundled/README.md +++ b/docker/rocm/rocm57bundled/README.md @@ -2,7 +2,7 @@ #### Pre-requisites -These containers will ONLY run on: +This container will ONLY run on: * System with AMD GPUs supporting the specified ROCm version(s) * System already with the latest [ROCm supporting drivers and libraries](https://rocm.docs.amd.com/en/latest/rocm.html) installed and tested. From 7c0cceafc6adc2acac44abe1956498f66f667dec Mon Sep 17 00:00:00 2001 From: Sing Li Date: Tue, 16 Apr 2024 14:29:27 -0600 Subject: [PATCH 12/12] updated and tested for new SLM jit flow --- docker/README.md | 53 +++++++------- docker/bin/README.md | 26 +++++++ docker/bin/startcuda122chat.sh | 1 + docker/bin/startcuda122serve.sh | 1 + docker/bin/startrocm57chat.sh | 1 + docker/bin/startrocm57serve.sh | 1 + docker/cuda/README.md | 65 ------------------ docker/cuda/cuda121/Dockerfile | 23 ------- docker/cuda/cuda121/buildimage.sh | 3 - docker/cuda/cuda121bundled/.dockerignore | 1 - docker/cuda/cuda121bundled/Dockerfile | 7 -- docker/cuda/cuda121bundled/README.md | 62 ----------------- docker/cuda/cuda121bundled/buildimage.sh | 3 - .../lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so | Bin 47728416 -> 0 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so | Bin 39048912 -> 0 bytes .../cuda/{cuda121 => cuda122}/.dockerignore | 0 docker/cuda/cuda122/Dockerfile | 22 ++++++ docker/cuda/cuda122/README.md | 7 ++ docker/cuda/cuda122/buildimage.sh | 3 + docker/rocm/README.md | 63 ----------------- docker/rocm/rocm57/Dockerfile | 11 ++- docker/rocm/rocm57/README.md | 7 ++ docker/rocm/rocm57/buidimage.sh | 1 + docker/rocm/rocm57/buildimage.sh | 3 - docker/rocm/rocm57bundled/.dockerignore | 1 - docker/rocm/rocm57bundled/Dockerfile | 7 -- docker/rocm/rocm57bundled/README.md | 62 ----------------- docker/rocm/rocm57bundled/buildimage.sh | 3 - .../lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so | Bin 43290696 -> 0 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so | Bin 17965160 -> 0 bytes ...edPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so | Bin 12596440 -> 0 bytes docker/test/README.md | 8 +++ docker/test/functioncall.py | 41 +++++++++++ .../lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so | Bin 47728416 -> 0 bytes .../lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so | Bin 43290696 -> 0 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so | Bin 39048912 -> 0 bytes .../lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so | Bin 17965160 -> 0 bytes ...edPajama-INCITE-Chat-3B-v1-q4f16_1-cuda.so | Bin 15636760 -> 0 bytes ...edPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so | Bin 12596440 -> 0 bytes docker/test/sample_client_for-testing.py | 33 ++++----- docker/test/startcuda.sh | 1 - docker/test/startllamacudabundled.sh | 1 - docker/test/startllamarocmbundled.sh | 1 - docker/test/startredpajamacuda.sh | 1 - docker/test/startredpajamarocm.sh | 1 - docker/test/startrocm.sh | 1 - 46 files changed, 168 insertions(+), 357 deletions(-) create mode 100644 docker/bin/README.md create mode 100755 docker/bin/startcuda122chat.sh create mode 100755 docker/bin/startcuda122serve.sh create mode 100755 docker/bin/startrocm57chat.sh create mode 100755 docker/bin/startrocm57serve.sh delete mode 100644 docker/cuda/README.md delete mode 100644 docker/cuda/cuda121/Dockerfile delete mode 100755 docker/cuda/cuda121/buildimage.sh delete mode 100644 docker/cuda/cuda121bundled/.dockerignore delete mode 100644 docker/cuda/cuda121bundled/Dockerfile delete mode 100644 docker/cuda/cuda121bundled/README.md delete mode 100755 docker/cuda/cuda121bundled/buildimage.sh delete mode 100755 docker/cuda/cuda121bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so delete mode 100755 docker/cuda/cuda121bundled/fixedmodel/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so rename docker/cuda/{cuda121 => cuda122}/.dockerignore (100%) create mode 100644 docker/cuda/cuda122/Dockerfile create mode 100644 docker/cuda/cuda122/README.md create mode 100755 docker/cuda/cuda122/buildimage.sh delete mode 100644 docker/rocm/README.md create mode 100644 docker/rocm/rocm57/README.md create mode 100644 docker/rocm/rocm57/buidimage.sh delete mode 100755 docker/rocm/rocm57/buildimage.sh delete mode 100644 docker/rocm/rocm57bundled/.dockerignore delete mode 100644 docker/rocm/rocm57bundled/Dockerfile delete mode 100644 docker/rocm/rocm57bundled/README.md delete mode 100755 docker/rocm/rocm57bundled/buildimage.sh delete mode 100755 docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so delete mode 100755 docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so delete mode 100755 docker/rocm/rocm57bundled/fixedmodel/dist/prebuilt/lib/RedPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so create mode 100644 docker/test/README.md create mode 100644 docker/test/functioncall.py delete mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so delete mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-rocm.so delete mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-cuda.so delete mode 100755 docker/test/mlcllm/dist/prebuilt/lib/Llama-2-7b-chat-hf-q4f16_1-rocm.so delete mode 100755 docker/test/mlcllm/dist/prebuilt/lib/RedPajama-INCITE-Chat-3B-v1-q4f16_1-cuda.so delete mode 100755 docker/test/mlcllm/dist/prebuilt/lib/RedPajama-INCITE-Chat-3B-v1-q4f16_1-rocm.so delete mode 100755 docker/test/startcuda.sh delete mode 100755 docker/test/startllamacudabundled.sh delete mode 100755 docker/test/startllamarocmbundled.sh delete mode 100755 docker/test/startredpajamacuda.sh delete mode 100755 docker/test/startredpajamarocm.sh delete mode 100755 docker/test/startrocm.sh diff --git a/docker/README.md b/docker/README.md index 2ee993df04..b1d0248bb3 100644 --- a/docker/README.md +++ b/docker/README.md @@ -1,6 +1,6 @@ -## Containers for mlc-llm REST API +## Containers for mlc_llm REST API and instant command line interface (CLI) chat with LLM -A set of docker container templates for your scaled production deployment of GPU-accelerated mlc-llms. Based on the work in the [LLM Performance Benchmark](https://github.com/mlc-ai/llm-perf-bench) project. +A set of docker container templates for your scaled production deployment of GPU-accelerated mlc_llms. Based on the recent work on the SLM, jit flow, and OpenAI compatible APIs including function calling. These containers are designed to be: @@ -8,53 +8,54 @@ These containers are designed to be: * non-opinionated - use CNCF k8s or docker compose or swarm or whatever you have for orchestration * adaptive and composable - nobody knows what you intend to do with these containers, and we don't guess * compatible - with multi-GPU support maturing and batching still in testing, these containers should suvive upcoming changes without needing to be severely revamped. -* practical NOW - usable and deployable TODAY with 2023/2024 level hardware and mlc-ai +* practical NOW - usable and deployable TODAY with 2024/2025 level workstation/consumer hardware and mlc-ai ### Structure -Containers are segregated by GPU acceleration stacks. See the README of the sub-folders for more information +Base containers are segregated by GPU acceleration stacks. See the README of the sub-folders for more information ``` cuda -|-- cuda121 -|-- cuda121bundled +|-- cuda122 + rocm -|-- rocm37 -|-- rocm37bundled +|-- rocm57 + +bin test ``` -#### Community contribution -This structure enables the greater community to easily contribute new tested templates for other cuda and rocm releases, for example. +The `bin` folder has the template executables that will start the containers. + +The `test` folder contains the tests. -#### Bundled for greatly improved UX +#### Community contribution + +This structure enables the greater community to easily contribute new tested templates for other cuda and rocm releases, for example. -Having the weights and library seperated for each and every model powers great flexibility but makes for a horrandous user experience. +#### Greatly enhanced out-of-box UX -The `bundled` variants of the containers include both weights and the library for a model inside the single mega-sized image. It is actually constructed based on the non-bundled image (composable), it just "add weights and the lib" to the image. +Managing the huge physical size of the weights for an LLM model is a major hurdle when deploying modern LLM in production / experimental environment at any scale. Couple this with the need to compile NN network support library for every combination and permutation of GPU hardware vs OS supported - and an _impossibly frustrating_ out-of-box user experience is guaranteed. -Users of such images can simply decide to run "llama2 7b on cuda 12.1" and in a few seconds pull down an image onto their workstation running AI apps served by Llama 2 already GPU accelerated. +The latest improvement in JIT and SLM flow for MLC_LLM specifically addresses this. And these docker container templates further enhances the out-of-box UX, down to one single easy to use command line (with automatic cached LLM weights management). -The tradeoff here is the storage requirement, and possibly network bandwidth during deployment. +Users of such images can simply decide to run "llama2 7b on cuda 12.2" and in one single command immediately pull down an image onto their workstation running AI apps served by Llama 2 already GPU accelerated. The weights are downloaded directly from huggingface and converted _specifically for her/his GPU hardware and OS_ the first time the command is executed; any subsequent invocation can start _instantly_ using the already converted weights. -Here is a glimpse of what the size difference between bundled vs unbundled version. (7.7 GB for the q4f16 llama2 weights, for example) +As an example the command to start an interactive chat with this LLM on Cuda 1.22 accelerated Linux is: ``` -REPOSITORY TAG IMAGE ID CREATED SIZE -llama2rocm57 v0.1 249adf862921 3 minutes ago 27.7GB -mlc-rocm57 v0.1 f4b7894e8724 3 hours ago 20GB -``` -Ultimately mlc-ai may decide to publish on its public Docker Hub some images of bundled popular models (such as mistral 7b on cuda 121 and rocm37) to enhance "out of box" UX for the project. +startcuda122chat.sh Llama-2-7b-chat-hf-q4f32_1 +``` -##### Loss of flexibility? +One container template is supplied for REST API serving, and another one is available for interactive command line chat with any supported LLMs. -There is no flexibility loss in deploying bundled containers because, as least for 2023/2024 hardware. The research community is working on multi-requests based on batching. This means that once the weights of a massive LLM is loaded into GPU VRAM, it ain't moving. Instead inference requests are batched against the loaded LLM for concurrent processing. The "GPU to LLM" mapping will remain static. -#### Unbundled containers +##### Compatibility with future improvements -Non-bundled container is coded by default to serve _llama2 7b q4f16_, but you can change the command line during `docker run` to have it serve any supported mlc-llms. Yes, you will have to download the weights and build the library yourself and place them in the docker mounted volume. See `red pajama` examples in the `test` directory. +There is no loss of flexibility in using these containers, the REST API implementation already support batching - the ability to handle multiple concurrent inferences at the same time. And any future improvements in MLC_AI will be #### Tests -Tests are made global to conserve storage. + +Tests are made global as they apply to mlc_ai running across any supported GPU configurations. diff --git a/docker/bin/README.md b/docker/bin/README.md new file mode 100644 index 0000000000..00df9921dc --- /dev/null +++ b/docker/bin/README.md @@ -0,0 +1,26 @@ +### container startup scripts + + +> NOTE: Please make sure you are in the `bin` directory when starting these scripts. Make sure you have write permissions to the `cache` directory. These scripts make use of the `cache` folder there to cache all model weights and custom compiled libraries. + +The `` that are supported (at any time) can be obtained from [MLC AI's Huggingface Repo](https://huggingface.co/mlc-ai). There are *88 supported models at the time of writing* and soon will have hundreds more. + +![image](https://github.com/Sing-Li/dockertest/assets/122633/e1068b42-cfe1-4385-8c71-0791d2987d8b) + +Some currently popular `model names` that our community are actively exploring include: + +* `Llama-2-7b-chat-hf-q4f16_1` +* `Mistral-7B-Instruct-v0.2-q4f16_1` +* `gemma-7b-it-q4ff16_2` +* `phi-1_5_q4f32_1` + +Try using these `` when parameterizing the scripts. + +You can modify the `serve` scripts directly to support specific network interfaces (on a multi-homed system, defaults to `0.0.0.0` = all interfaces) and to change the listening port (defaults to port `8000`). + +|Command | Description | Usage| +|-------|------|------| +|`startcuda122chat.sh` | starts up command line interactive chat with specified LLM on Cuda 12.1 linux system | `sh ./startcuda122chat.sh `| +|`startcuda122serve.sh` | runs a server handling multiple concurrent REST API calls to the specified LLM on Cuda 12.1 linux system| `sh ./startcuda122serve.sh `| +|`startrocm57chat.sh` | starts up command line interactive chat with specified LLM on Rocm 5.7 linux system | `sh ./startrocm57chat.sh `| +|`startrocm57serve.sh` | runs a server handling multiple concurrent REST API calls to the specified LLM on Rocm 5.7 linux system| `sh ./startrocm57serve.sh `| diff --git a/docker/bin/startcuda122chat.sh b/docker/bin/startcuda122chat.sh new file mode 100755 index 0000000000..87c260b962 --- /dev/null +++ b/docker/bin/startcuda122chat.sh @@ -0,0 +1 @@ +docker run --gpus all --rm -it --network host -v ./cache:/root/.cache mlcllmcuda122:v0.1 chat HF://mlc-ai/$1-MLC diff --git a/docker/bin/startcuda122serve.sh b/docker/bin/startcuda122serve.sh new file mode 100755 index 0000000000..6395eb1c23 --- /dev/null +++ b/docker/bin/startcuda122serve.sh @@ -0,0 +1 @@ +docker run --gpus all --rm --network host -v ./cache:/root/.cache mlcllmcuda122:v0.1 serve HF://mlc-ai/$1-MLC --host 0.0.0.0 --port 8000 diff --git a/docker/bin/startrocm57chat.sh b/docker/bin/startrocm57chat.sh new file mode 100755 index 0000000000..11ec324f1d --- /dev/null +++ b/docker/bin/startrocm57chat.sh @@ -0,0 +1 @@ +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host -v ./cache:/root/.cache mlcllmrocm57:v0.1 chat HF://mlc-ai/$1-MLC diff --git a/docker/bin/startrocm57serve.sh b/docker/bin/startrocm57serve.sh new file mode 100755 index 0000000000..818c6ddb09 --- /dev/null +++ b/docker/bin/startrocm57serve.sh @@ -0,0 +1 @@ +docker run --device=/dev/kfd --device=/dev/dri --security-opt seccomp=unconfined --group-add video --rm --network host mlcllmrocm57:v0.1 serve HF://mlc-ai/$1-MLC --host 0.0.0.0 --port 8000 diff --git a/docker/cuda/README.md b/docker/cuda/README.md deleted file mode 100644 index 300817eb08..0000000000 --- a/docker/cuda/README.md +++ /dev/null @@ -1,65 +0,0 @@ -#### Pre-requisites - -These containers will ONLY run on: - -* System with Nvidia GPUs supporting the specified CUDA version(s) -* System installed and tested with [NVidia Container Runtime](https://developer.nvidia.com/nvidia-container-runtime) - -They will not run on any other system, or on systems with unsupported Nvidia GPUs. - - -#### Quick start - -Build the image: - -``` -cd cuda121 -sh ./buildimage.sh -``` - -This will create the `mlc-cuda121` image. You can then push it to your local or public registry for deployment. - -To run it you will use: - -``` -docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 -``` - -This will mount the `./mlcllm` directoy into the container. Before running, you must place the model's weights into `mlcllm/dist/prebuild` and the library into `mlcllm/dist/prebuild/lib`. - -By default, the `llama2 7b q4f16` model is expected. - -But you can easily change the model that will be served by adding options to the command line (running red pajama 3b q4f16 instead): - -``` -docker run --gpus all --rm --network host -v ./mlcllm:/mlcllm mlc-cuda121:v0.1 --model RedPajama-INCITE-Chat-3B-v1-q4f16_1 --device cuda --host 0.0.0.0 --port 8000 -``` - -By default the container will listen to `port 8000` of the host machine for REST API calls. - -You can use the python script in the `test` subfolder to test your container: - -``` -$ python sample_client_for-testing.py -Without streaming: -Of course! Here is a haiku for you: - -Sun sets slowly down -Golden hues upon the sea -Peaceful evening sky - -Reset chat: - -With streaming: -Of course! Here is a haiku for you: - -Respectful and true -Honest and helpful assistant -Serving with grace - -Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s -``` - -See the `test` subfolder for examples of these scripts. - - diff --git a/docker/cuda/cuda121/Dockerfile b/docker/cuda/cuda121/Dockerfile deleted file mode 100644 index 9a81c29b97..0000000000 --- a/docker/cuda/cuda121/Dockerfile +++ /dev/null @@ -1,23 +0,0 @@ -# NOTE: This Dockerfile is based on CUDA 12.1. -# To benchmark on other CUDA versions, search and replace "12.1" and "121". -FROM nvidia/cuda:12.1.1-devel-ubuntu22.04 - -ENV MLC_PATH /mlcllm - -# setup python 3 and pip, load the mlc-ai nightlies - -RUN apt update && \ - apt install --yes python3 pip && \ - pip install --pre --force-reinstall -f https://mlc.ai/wheels \ - mlc-ai-nightly-cu121 mlc-chat-nightly-cu121 &&\ - mkdir -p $MLC_PATH - -VOLUME ${MLC_PATH} - -WORKDIR ${MLC_PATH} - -ENTRYPOINT ["python3", "-m", "mlc_chat.rest"] - -CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "cuda", "--host", "0.0.0.0", "--port", "8000"] - - diff --git a/docker/cuda/cuda121/buildimage.sh b/docker/cuda/cuda121/buildimage.sh deleted file mode 100755 index 1456862d91..0000000000 --- a/docker/cuda/cuda121/buildimage.sh +++ /dev/null @@ -1,3 +0,0 @@ -docker build --no-cache -t mlc-cuda121:v0.1 -f ./Dockerfile . - - diff --git a/docker/cuda/cuda121bundled/.dockerignore b/docker/cuda/cuda121bundled/.dockerignore deleted file mode 100644 index 8b13789179..0000000000 --- a/docker/cuda/cuda121bundled/.dockerignore +++ /dev/null @@ -1 +0,0 @@ - diff --git a/docker/cuda/cuda121bundled/Dockerfile b/docker/cuda/cuda121bundled/Dockerfile deleted file mode 100644 index 051ed55f36..0000000000 --- a/docker/cuda/cuda121bundled/Dockerfile +++ /dev/null @@ -1,7 +0,0 @@ -FROM mlc-cuda121:v0.1 -ADD fixedmodel ./fixedmodel -WORKDIR ./fixedmodel - -CMD ["--model", "Llama-2-7b-chat-hf-q4f16_1", "--device", "cuda", "--host", "0.0.0.0", "--port", "8000"] - - diff --git a/docker/cuda/cuda121bundled/README.md b/docker/cuda/cuda121bundled/README.md deleted file mode 100644 index c0ce009ae0..0000000000 --- a/docker/cuda/cuda121bundled/README.md +++ /dev/null @@ -1,62 +0,0 @@ -### Combining weights and library of a model into a mega-sized container image - -#### Pre-requisites - -This container will ONLY run on: - -* System with Nvidia GPUs supporting the specified CUDA version(s) -* System installed and tested with [NVidia Container Runtime](https://developer.nvidia.com/nvidia-container-runtime) - -They will not run on any other system, or on systems with unsupported Nvidia GPUs. - - -#### Quick start - -Before building the image, you MUST place the associated weights and library of the model into the `fixedmodel` directory. - -1. place the weights into the `fixedmodel/dist/prebuilt` folder (the default example is for Llama-2-7b-chat-hf-q4f16_1 and `mlc-chat-Llama-2-7b-chat-hf-q4f16_1` from huggingface should be `git cloned` here) -2. place the library into `fixedmodel/dist/prebuilt/lib` folder (in the case of cuda121 for llama2 7b q4f16_1, it will be `Llama-2-7b-chat-hf-q4f16_1-cuda.so`) - -Make sure there is no extra files littering under the `fixedmodel` directory hierachy, as _everything_ under this directory will be added into the container image. - -Build the image: - -``` -cd cuda121bundled -sh ./buildimage.sh -``` - -This will create the `llama2cuda121` bundled image. You can then push it to your local or public registry for deployment. - -To run it you will use: - -``` -docker run --gpus all --network host --rm llama2cuda121:v0.1 -``` - -By default the container will listen to `port 8000` of the host machine for REST API calls. - -You can use the python script in the `test` subfolder to test your container: - -``` -$ python sample_client_for-testing.py -Without streaming: -Of course! Here is a haiku for you: - -Sun sets slowly down -Golden hues upon the sea -Peaceful evening sky - -Reset chat: - -With streaming: -Of course! Here is a haiku for you: - -Respectful and true -Honest and helpful assistant -Serving with grace - -Runtime stats: prefill: 259.2 tok/s, decode: 145.6 tok/s -``` - -See the `test` subfolder for examples of these scripts. diff --git a/docker/cuda/cuda121bundled/buildimage.sh b/docker/cuda/cuda121bundled/buildimage.sh deleted file mode 100755 index 6c51e8ffad..0000000000 --- a/docker/cuda/cuda121bundled/buildimage.sh +++ /dev/null @@ -1,3 +0,0 @@ -docker build -t llama2cuda121:v0.1 -f ./Dockerfile . - - diff --git a/docker/cuda/cuda121bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so b/docker/cuda/cuda121bundled/fixedmodel/dist/prebuilt/lib/Llama-2-13b-chat-hf-q4f16_1-cuda.so deleted file mode 100755 index a0b514d64425a29910a0f2b40adaaaf05137c6cb..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 47728416 zcmeFa2Y3}_xAq?pBp|OlDhMh{P!LqqfJBfOAecZRiF5%0141a$A!z7{A!^)4v7o4^ 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