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seanpedrickcase
commited on
Commit
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3c1c3de
1
Parent(s):
d34af22
Dockerfile now installs models directly into user folder instead of moving from base folder
Browse files- Dockerfile +13 -14
Dockerfile
CHANGED
@@ -11,7 +11,7 @@ RUN apt-get update && apt-get install -y \
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build-essential
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# Create a directory for the model
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RUN mkdir /model
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WORKDIR /src
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@@ -22,19 +22,6 @@ RUN pip install --no-cache-dir -r requirements.txt
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# Gradio needs to be installed after due to conflict with spacy in requirements
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RUN pip install --no-cache-dir gradio==4.41.0
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# Download the quantised phi model directly with curl
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RUN curl -L -o Phi-3-mini-128k-instruct.Q4_K_M.gguf https://huggingface.co/QuantFactory/Phi-3-mini-128k-instruct-GGUF/tree/main/Phi-3-mini-128k-instruct.Q4_K_M.gguf
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# If needed, move the file to your desired directory in the Docker image
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RUN mv Phi-3-mini-128k-instruct.Q4_K_M.gguf /model/rep/
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# Download the Mixed bread embedding model during the build process
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RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash
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RUN apt-get install git-lfs -y
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RUN git lfs install
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RUN git clone https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1 /model/embed
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RUN rm -rf /model/embed/.git
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# Set up a new user named "user" with user ID 1000
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RUN useradd -m -u 1000 user
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@@ -45,6 +32,18 @@ RUN chown -R user:user /home/user
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RUN mkdir -p /home/user/app/output && chown -R user:user /home/user/app/output
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RUN mkdir -p /home/user/.cache/huggingface/hub && chown -R user:user /home/user/.cache/huggingface/hub
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RUN mkdir -p /home/user/.cache/matplotlib && chown -R user:user /home/user/.cache/matplotlib
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# Switch to the "user" user
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USER user
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build-essential
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# Create a directory for the model
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RUN mkdir /model && mkdir /model/rep && mkdir /model/embed
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WORKDIR /src
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# Gradio needs to be installed after due to conflict with spacy in requirements
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RUN pip install --no-cache-dir gradio==4.41.0
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# Set up a new user named "user" with user ID 1000
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RUN useradd -m -u 1000 user
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RUN mkdir -p /home/user/app/output && chown -R user:user /home/user/app/output
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RUN mkdir -p /home/user/.cache/huggingface/hub && chown -R user:user /home/user/.cache/huggingface/hub
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RUN mkdir -p /home/user/.cache/matplotlib && chown -R user:user /home/user/.cache/matplotlib
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RUN mkdir -p /home/user/app/model/rep && chown -R user:user /home/user/app/model/rep
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RUN mkdir -p /home/user/app/model/embed && chown -R user:user /home/user/app/model/embed
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# Download the quantised phi model directly with curl
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RUN curl -L -o /home/user/app/model/rep/Phi-3-mini-128k-instruct.Q4_K_M.gguf https://huggingface.co/QuantFactory/Phi-3-mini-128k-instruct-GGUF/tree/main/Phi-3-mini-128k-instruct.Q4_K_M.gguf
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# Download the Mixed bread embedding model during the build process
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RUN curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | bash
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RUN apt-get install git-lfs -y
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RUN git lfs install
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RUN git clone https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1 /home/user/app/model/embed
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RUN rm -rf /home/user/app/model/embed/.git
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# Switch to the "user" user
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USER user
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