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wizardcoder-ggml
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Duplicate from matthoffner/wizardcoder-ggml

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Co-authored-by: Matt Hoffner <matthoffner@users.noreply.huggingface.co>

Files changed (5) hide show
  1. .gitattributes +34 -0
  2. Dockerfile +23 -0
  3. README.md +19 -0
  4. main.py +56 -0
  5. requirements.txt +11 -0
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+ *.7z filter=lfs diff=lfs merge=lfs -text
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+ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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Dockerfile ADDED
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+ FROM python:latest
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+
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+ ENV PYTHONUNBUFFERED 1
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+
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+ EXPOSE 8000
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+
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+ RUN useradd -m -u 1000 user
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+ USER user
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+ ENV HOME=/home/user \
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+ PATH=/home/user/.local/bin:$PATH
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+
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+ WORKDIR $HOME/app
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+
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+ COPY requirements.txt ./
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+ RUN pip install --upgrade pip && \
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+ pip install -r requirements.txt
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+
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+
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+ COPY --chown=user . $HOME/app
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+
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+ RUN ls -al
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+
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+ CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "8000"]
README.md ADDED
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+ ---
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+ title: wizardcoder
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+ emoji: 🧙‍♂️💻🛫
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+ sdk: docker
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+ app_port: 8000
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+ duplicated_from: matthoffner/wizardcoder-ggml
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+ ---
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+
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+ # WizardCoder-ggml
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+
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+ ## <a href="https://github.com/ggerganov/ggml" target="_blank">ggml</a>
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+ ## <a href="https://github.com/marella/ctransformers" target="_blank">ctransformers</a>
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+ ## [FastAPI Docs](https://matthoffner-wizardcoder-ggml.hf.space/docs)
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+
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+ ### Updates
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+
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+ * Added /v1/chat/completions
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+ * [Start using ctransformers](https://github.com/marella/ctransformers)
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+ * [Added starcoder example](https://github.com/ggerganov/ggml/tree/master/examples/starcoder)
main.py ADDED
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+ import fastapi
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+ import json
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+ import markdown
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+ import uvicorn
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+ from fastapi.responses import HTMLResponse
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+ from fastapi.middleware.cors import CORSMiddleware
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+ from sse_starlette.sse import EventSourceResponse
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+ from ctransformers import AutoModelForCausalLM
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+ from pydantic import BaseModel
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+
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+ llm = AutoModelForCausalLM.from_pretrained("TheBloke/WizardCoder-15B-1.0-GGML",
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+ model_file="WizardCoder-15B-1.0.ggmlv3.q4_0.bin",
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+ model_type="starcoder")
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+ app = fastapi.FastAPI(title="WizardCoder")
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+ app.add_middleware(
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+ CORSMiddleware,
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+ allow_origins=["*"],
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+ allow_credentials=True,
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+ allow_methods=["*"],
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+ allow_headers=["*"],
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+ )
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+
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+ @app.get("/")
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+ async def index():
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+ html_content = """
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+ <html>
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+ <head>
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+ </head>
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+ <body>
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+ <h1><a href="https://matthoffner-wizardcoder-ggml.hf.space/docs">FastAPI Docs</a></h1>
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+ <iframe
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+ src="https://matthoffner-monacopilot.hf.space"
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+ frameborder="0"
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+ width="850"
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+ height="450"
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+ ></iframe>
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+ </body>
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+ </html>
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+ """
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+ return HTMLResponse(content=html_content, status_code=200)
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+
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+ class ChatCompletionRequest(BaseModel):
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+ prompt: str
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+
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+ @app.post("/v1/chat/completions")
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+ async def chat(request: ChatCompletionRequest, response_mode=None):
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+ tokens = llm.tokenize(request.prompt)
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+ async def server_sent_events(chat_chunks, llm):
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+ for chat_chunk in llm.generate(chat_chunks):
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+ yield dict(data=json.dumps(llm.detokenize(chat_chunk)))
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+ yield dict(data="[DONE]")
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+
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+ return EventSourceResponse(server_sent_events(tokens, llm))
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+
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+ if __name__ == "__main__":
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+ uvicorn.run(app, host="0.0.0.0", port=8000)
requirements.txt ADDED
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+ uvicorn
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+ markdown
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+ fastapi
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+ loguru
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+ torch
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+ numpy
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+ transformers
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+ ctransformers
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+ accelerate
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+ langchain
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+ sse_starlette