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<!DOCTYPE html>
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<html>
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<head>
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<title>Mistral-7B-Instruct-v0.1-GGUF (Q4_K_M)</title>
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</head>
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<body>
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<h1>Mistral-7B-Instruct-v0.1-GGUF (Q4_K_M)</h1>
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<p>
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With the utilization of the
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<a href="https://github.com/abetlen/llama-cpp-python">llama-cpp-python</a>
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package, we are excited to introduce the GGUF model hosted in the Hugging
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Face Docker Spaces, made accessible through an OpenAI-compatible API. This
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space includes comprehensive API documentation to facilitate seamless
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integration.
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</p>
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<ul>
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<li>
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The API endpoint:
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<a href="https://limcheekin-mistral-7b-instruct-v0-1-gguf.hf.space/v1"
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>https://limcheekin-mistral-7b-instruct-v0-1-gguf.hf.space/v1</a
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>
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</li>
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<li>
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The API doc:
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<a href="https://limcheekin-mistral-7b-instruct-v0-1-gguf.hf.space/docs"
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>https://limcheekin-mistral-7b-instruct-v0-1-gguf.hf.space/docs</a
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>
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</li>
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</ul>
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<p>
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Go ahead and try it out the API endpoint yourself with the
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<a
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href="https://huggingface.co/spaces/limcheekin/Mistral-7B-Instruct-v0.1-GGUF/blob/main/mistral-7b-instruct.ipynb"
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target="_blank"
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>
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mistral-7b-instruct.ipynb</a
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>
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jupyter notebook.
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</p>
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<p>
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If you find this resource valuable, your support in the form of starring
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the space would be greatly appreciated. Your engagement plays a vital role
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in furthering the application for a community GPU grant, ultimately
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enhancing the capabilities and accessibility of this space.
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</p>
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</body>
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</html>
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