Initial commit

Dockerfile-ggml-cpp-wheel

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+FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
+
+ARG CTRANSFORMERS_VERSION="0.2.5"
+ARG CMAKE_VERSION=3.26
+ARG CMAKE_VERSION_PATCH=3.26.3
+ARG CMAKE_OS=linux
+ARG DEBIAN_FRONTEND=noninteractive
+ENV TZ=UTC
+
+RUN apt-get update && \
+    apt-get install --no-install-recommends -y \
+      curl git vim build-essential software-properties-common python3 python3-pip python3-dev python3-venv \
+      libffi-dev libncurses5-dev zlib1g zlib1g-dev libreadline-dev libbz2-dev libsqlite3-dev libssl-dev \
+      libblas-dev liblapack-dev cmake && \
+    add-apt-repository ppa:ubuntu-toolchain-r/test && \
+    apt-get update && \
+    apt install --no-install-recommends -y gcc-10 g++-10 && \
+    update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 100 --slave /usr/bin/g++ g++ /usr/bin/g++-10 --slave /usr/bin/gcov gcov /usr/bin/gcov-10 && \
+    rm -rf /var/lib/apt/lists/* && \
+    pip3 install scikit-build
+RUN curl -L https://cmake.org/files/v$CMAKE_VERSION/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh -o /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh && \
+    mkdir /opt/cmake && \
+    sh /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh --skip-license --prefix=/opt/cmake && \
+    ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake
+
+RUN useradd -m -u 1000 appuser
+
+WORKDIR /build
+RUN chown appuser:appuser /build
+USER appuser
+
+ENV HOME /home/appuser
+ENV PYENV_ROOT $HOME/.pyenv
+ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
+
+RUN git clone --depth 1 --branch v$CTRANSFORMERS_VERSION https://github.com/marella/ctransformers.git /build
+RUN curl https://pyenv.run | bash
+
+RUN pyenv install 3.8.9 && \
+    pyenv global 3.8.9 && \
+    pyenv rehash && \
+    pip install --no-cache-dir --upgrade pip==22.3.1 setuptools wheel && \
+    pip install --no-cache-dir datasets "huggingface-hub>=0.12.1" "protobuf<4" "click<8.1" "scikit-build" && \
+    CT_CUBLAS=1 python3 setup.py bdist_wheel && \
+    ls -l /build/dist/

Dockerfile-llama-cpp-wheel

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+FROM nvidia/cuda:11.3.1-cudnn8-devel-ubuntu18.04
+
+ARG LLAMA_CPP_VERSION="v0.1.53"
+ARG CMAKE_VERSION=3.26
+ARG CMAKE_VERSION_PATCH=3.26.3
+ARG CMAKE_OS=linux
+ARG DEBIAN_FRONTEND=noninteractive
+ENV TZ=UTC
+
+RUN apt-get update && \
+    apt-get install --no-install-recommends -y \
+      curl git vim build-essential software-properties-common python3 python3-pip python3-dev python3-venv \
+      libffi-dev libncurses5-dev zlib1g zlib1g-dev libreadline-dev libbz2-dev libsqlite3-dev libssl-dev \
+      libblas-dev liblapack-dev cmake && \
+    add-apt-repository ppa:ubuntu-toolchain-r/test && \
+    apt-get update && \
+    apt install --no-install-recommends -y gcc-10 g++-10 && \
+    update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-10 100 --slave /usr/bin/g++ g++ /usr/bin/g++-10 --slave /usr/bin/gcov gcov /usr/bin/gcov-10 && \
+    rm -rf /var/lib/apt/lists/* && \
+    pip3 install scikit-build
+RUN curl -L https://cmake.org/files/v$CMAKE_VERSION/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh -o /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh && \
+    mkdir /opt/cmake && \
+    sh /tmp/cmake-$CMAKE_VERSION_PATCH-$CMAKE_OS-x86_64.sh --skip-license --prefix=/opt/cmake && \
+    ln -s /opt/cmake/bin/cmake /usr/local/bin/cmake
+
+RUN useradd -m -u 1000 appuser
+
+WORKDIR /build
+RUN chown appuser:appuser /build
+USER appuser
+
+ENV HOME /home/appuser
+ENV PYENV_ROOT $HOME/.pyenv
+ENV PATH $PYENV_ROOT/shims:$PYENV_ROOT/bin:$PATH
+
+RUN git clone --depth 1 --branch $LLAMA_CPP_VERSION https://github.com/abetlen/llama-cpp-python.git /build
+RUN git clone https://github.com/ggerganov/llama.cpp.git /build/vendor/llama.cpp
+RUN curl https://pyenv.run | bash
+
+RUN pyenv install 3.8.9 && \
+    pyenv global 3.8.9 && \
+    pyenv rehash && \
+    pip install --no-cache-dir --upgrade pip==22.3.1 setuptools wheel && \
+    pip install --no-cache-dir datasets "huggingface-hub>=0.12.1" "protobuf<4" "click<8.1" "scikit-build" && \
+    CMAKE_ARGS="-DLLAMA_CUBLAS=on" FORCE_CMAKE=1 python3 setup.py bdist_wheel && \
+    mkdir /build/dists/ && \
+    cp dist/llama_cpp_python-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl dists/llama_cpp_python-gpu-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl && \
+    CMAKE_ARGS="-DLLAMA_CUBLAS=off" FORCE_CMAKE=1 python3 setup.py bdist_wheel && \
+    cp dist/llama_cpp_python-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl dists/llama_cpp_python-cpu-${LLAMA_CPP_VERSION}-cp38-cp38-linux_x86_64.whl && \
+    ls -l /build/dists/

app.py

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+import gradio as gr
+import yaml
+from huggingface_hub import hf_hub_download
+from huggingface_hub.utils import LocalEntryNotFoundError
+from llama_cpp import Llama
+
+with open("./config.yml", "r") as f:
+    config = yaml.load(f, Loader=yaml.Loader)
+while True:
+    try:
+        load_config = config.copy()
+        hub_config = load_config["hub"].copy()
+        repo_id = hub_config.pop("repo_id")
+        filename = hub_config.pop("filename")
+        fp = hf_hub_download(
+            repo_id=repo_id, filename=filename, **hub_config
+        )
+        break
+    except LocalEntryNotFoundError as e:
+        if "Connection error" in str(e):
+            print(str(e) + ", retrying...")
+        else:
+            raise(e)
+
+llm = Llama(model_path=fp, **config["llama_cpp"])
+
+
+def user(message, history):
+    history = history or []
+    # Append the user's message to the conversation history
+    history.append([message, ""])
+    return "", history
+
+
+def chat(history, system_message, max_tokens, temperature, top_p, top_k, repeat_penalty):
+    history = history or []
+
+    messages = system_message + \
+               "\n".join(["\n".join(["Human: "+item[0], "Laura: "+item[1]])
+                        for item in history])
+
+    # remove last space from assistant, some models output a ZWSP if you leave a space
+    messages = messages[:-1]
+
+    history[-1][1] = ""
+    for output in llm(
+            messages,
+            echo=False,
+            stream=True,
+            max_tokens=max_tokens,
+            temperature=temperature,
+            top_p=top_p,
+            top_k=top_k,
+            repeat_penalty=repeat_penalty,
+            **config['chat']
+    ):
+        answer = output['choices'][0]['text']
+        history[-1][1] += answer
+        # stream the response
+        yield history, history
+
+
+def clear_chat(chat_history_state, chat_message):
+    chat_history_state = []
+    chat_message = ''
+    return chat_history_state, chat_message
+
+
+start_message = """
+This is a conversation between the helpful, cynical, and well-spoken AI chatbot Laura and a human. Laura's responses informatively, insightfully, and delightfully answer the human's request. Continue the chat from Laura's perspective.
+
+---
+
+"""
+
+
+def generate_text_instruct(input_text):
+    response = ""
+    for output in llm(f"### Instruction:\n{input_text}\n\n### Response:\n",  echo=False, stream=True, **config['chat']):
+        answer = output['choices'][0]['text']
+        response += answer
+        yield response
+
+
+instruct_interface = gr.Interface(
+    fn=generate_text_instruct,
+    inputs=gr.inputs.Textbox(lines= 10, label="Enter your input text"),
+    outputs=gr.outputs.Textbox(label="Output text"),
+)
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown(f"""
+                    ### brought to you by OpenAccess AI Collective
+                    - This is the [{config["hub"]["repo_id"]}](https://huggingface.co/{config["hub"]["repo_id"]}) model file [{config["hub"]["filename"]}](https://huggingface.co/{config["hub"]["repo_id"]}/blob/main/{config["hub"]["filename"]})
+                    - This Space uses GGML with GPU support, so it can quickly run larger models on smaller GPUs & VRAM.
+                    - This is running on a smaller, shared GPU, so it may take a few seconds to respond. 
+                    - [Duplicate the Space](https://huggingface.co/spaces/openaccess-ai-collective/ggml-ui?duplicate=true) to skip the queue and run in a private space or to use your own GGML models.
+                    - When using your own models, simply update the [config.yml](https://huggingface.co/spaces/openaccess-ai-collective/ggml-ui/blob/main/config.yml)
+                    - Contribute at [https://github.com/OpenAccess-AI-Collective/ggml-webui](https://github.com/OpenAccess-AI-Collective/ggml-webui)
+                    - Many thanks to [TheBloke](https://huggingface.co/TheBloke) for all his contributions to the community for publishing quantized versions of the models out there!  
+                    """)
+    with gr.Tab("Instruct"):
+        gr.Markdown("# GGML Spaces Instruct Demo")
+        instruct_interface.render()
+
+    with gr.Tab("Chatbot"):
+        gr.Markdown("# GGML Spaces Chatbot Demo")
+        chatbot = gr.Chatbot()
+        with gr.Row():
+            message = gr.Textbox(
+                label="What do you want to chat about?",
+                placeholder="Ask me anything.",
+                lines=1,
+            )
+        with gr.Row():
+            submit = gr.Button(value="Send message", variant="secondary").style(full_width=True)
+            clear = gr.Button(value="New topic", variant="secondary").style(full_width=False)
+            stop = gr.Button(value="Stop", variant="secondary").style(full_width=False)
+        with gr.Row():
+            with gr.Column():
+                max_tokens = gr.Slider(20, 1000, label="Max Tokens", step=20, value=300)
+                temperature = gr.Slider(0.2, 2.0, label="Temperature", step=0.1, value=0.8)
+                top_p = gr.Slider(0.0, 1.0, label="Top P", step=0.05, value=0.95)
+                top_k = gr.Slider(0, 100, label="Top K", step=1, value=40)
+                repeat_penalty = gr.Slider(0.0, 2.0, label="Repetition Penalty", step=0.1, value=1.1)
+
+        system_msg = gr.Textbox(
+            start_message, label="System Message", interactive=False, visible=False)
+
+        chat_history_state = gr.State()
+        clear.click(clear_chat, inputs=[chat_history_state, message], outputs=[chat_history_state, message], queue=False)
+        clear.click(lambda: None, None, chatbot, queue=False)
+
+        submit_click_event = submit.click(
+            fn=user, inputs=[message, chat_history_state], outputs=[message, chat_history_state], queue=True
+        ).then(
+            fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repeat_penalty], outputs=[chatbot, chat_history_state], queue=True
+        )
+        message_submit_event = message.submit(
+            fn=user, inputs=[message, chat_history_state], outputs=[message, chat_history_state], queue=True
+        ).then(
+            fn=chat, inputs=[chat_history_state, system_msg, max_tokens, temperature, top_p, top_k, repeat_penalty], outputs=[chatbot, chat_history_state], queue=True
+        )
+        stop.click(fn=None, inputs=None, outputs=None, cancels=[submit_click_event, message_submit_event], queue=False)
+
+demo.queue(**config["queue"]).launch(debug=True, server_name="0.0.0.0", server_port=7860)

config.yml

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+---
+hub:
+  repo_id: jkeisling/laura-openllama13b-600bt-ggml
+  filename: laura-openllama13b-600bt-q6_K.bin
+llama_cpp:
+  n_ctx: 2048
+  n_gpu_layers: 40  # llama 13b has 40 layers
+chat:
+  stop:
+    - "Human:"
+queue:
+  max_size: 16
+  concurrency_count: 1  # leave this at 1, llama-cpp-python doesn't handle concurrent requests and will crash the entire app

requirements.txt

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+--extra-index-url https://pypi.ngc.nvidia.com
+nvidia-cuda-runtime
+nvidia-cublas
+llama-cpp-python @ https://github.com/OpenAccess-AI-Collective/ggml-webui/releases/download/v0.1.50-rc3/llama_cpp_python-gpu-0.1.50-cp38-cp38-linux_x86_64.whl
+pyyaml
+torch