mistralrs-mkl


Namemistralrs-mkl JSON
Version 0.3.4 PyPI version JSON
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home_pagehttps://github.com/EricLBuehler/mistral.rs
SummaryFast and easy LLM serving.
upload_time2024-11-28 19:16:47
maintainerNone
docs_urlNone
authorEric Buehler
requires_python>=3.10
licenseMIT
keywords machine-learning
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # mistral.rs

`mistralrs` is a Python package which provides an easy to use API for `mistral.rs`. 

## Example
More examples can be found [here](https://github.com/EricLBuehler/mistral.rs/tree/master/examples/python)!

```python
from mistralrs import Runner, Which, ChatCompletionRequest

runner = Runner(
    which=Which.Plain(
        model_id="microsoft/Phi-3.5-mini-instruct",
    ),
    in_situ_quant="Q4K",
)

res = runner.send_chat_completion_request(
    ChatCompletionRequest(
        model="mistral",
        messages=[
            {"role": "user", "content": "Tell me a story about the Rust type system."}
        ],
        max_tokens=256,
        presence_penalty=1.0,
        top_p=0.1,
        temperature=0.1,
    )
)
print(res.choices[0].message.content)
print(res.usage)
```

Please find [API docs here](API.md) and the type stubs [here](mistralrs.pyi), which are another great form of documentation.

We also provide [a cookbook here](../examples/python/cookbook.ipynb)!


            

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    "description": "# mistral.rs\n\n`mistralrs` is a Python package which provides an easy to use API for `mistral.rs`. \n\n## Example\nMore examples can be found [here](https://github.com/EricLBuehler/mistral.rs/tree/master/examples/python)!\n\n```python\nfrom mistralrs import Runner, Which, ChatCompletionRequest\n\nrunner = Runner(\n    which=Which.Plain(\n        model_id=\"microsoft/Phi-3.5-mini-instruct\",\n    ),\n    in_situ_quant=\"Q4K\",\n)\n\nres = runner.send_chat_completion_request(\n    ChatCompletionRequest(\n        model=\"mistral\",\n        messages=[\n            {\"role\": \"user\", \"content\": \"Tell me a story about the Rust type system.\"}\n        ],\n        max_tokens=256,\n        presence_penalty=1.0,\n        top_p=0.1,\n        temperature=0.1,\n    )\n)\nprint(res.choices[0].message.content)\nprint(res.usage)\n```\n\nPlease find [API docs here](API.md) and the type stubs [here](mistralrs.pyi), which are another great form of documentation.\n\nWe also provide [a cookbook here](../examples/python/cookbook.ipynb)!\n\n",
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