add chat.py denpendency in Dockerfile (#9699)
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2 changed files with 4 additions and 4 deletions
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@ -73,7 +73,7 @@ You can download models and bind the model directory from host machine to contai
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After entering the container through `docker exec`, you can run chat.py by:
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After entering the container through `docker exec`, you can run chat.py by:
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```bash
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```bash
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cd /llm
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cd /llm/portable-zip
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python chat.py --model-path YOUR_MODEL_PATH
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python chat.py --model-path YOUR_MODEL_PATH
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```
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```
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If your model is chatglm-6b and mounted on /llm/models, you can excute:
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If your model is chatglm-6b and mounted on /llm/models, you can excute:
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@ -30,12 +30,12 @@ RUN env DEBIAN_FRONTEND=noninteractive apt-get update && \
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pip install --upgrade jupyterlab && \
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pip install --upgrade jupyterlab && \
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git clone https://github.com/intel-analytics/bigdl-llm-tutorial && \
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git clone https://github.com/intel-analytics/bigdl-llm-tutorial && \
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chmod +x /llm/start-notebook.sh && \
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chmod +x /llm/start-notebook.sh && \
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# Download chat.py script
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pip install --upgrade colorama && \
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wget -P /llm https://raw.githubusercontent.com/intel-analytics/BigDL/main/python/llm/portable-zip/chat.py && \
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# Download all-in-one benchmark
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# Download all-in-one benchmark
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git clone https://github.com/intel-analytics/BigDL && \
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git clone https://github.com/intel-analytics/BigDL && \
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cp -r ./BigDL/python/llm/dev/benchmark/ ./benchmark && \
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cp -r ./BigDL/python/llm/dev/benchmark/ ./benchmark && \
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# Copy chat.py script
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pip install --upgrade colorama && \
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cp -r ./BigDL/python/llm/portable-zip/ ./portable-zip && \
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# Install all-in-one dependencies
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# Install all-in-one dependencies
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apt-get install -y numactl && \
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apt-get install -y numactl && \
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pip install --upgrade omegaconf && \
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pip install --upgrade omegaconf && \
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