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--- |
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license: mit |
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base_model: |
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- unsloth/DeepSeek-R1-BF16 |
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--- |
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## Model Details |
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This model is an mxfp8 quantized version of [unsloth/DeepSeek-R1-BF16](https://huggingface.co/unsloth/DeepSeek-R1-BF16) generated by [intel/auto-round](https://github.com/intel/auto-round). |
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Please follow the license of the original model. |
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## How to Use |
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The step-by-step README of quantization and evaluation can be found in [Intel Neural Compressor Examples](https://github.com/intel/neural-compressor/blob/master/examples/pytorch/nlp/huggingface_models/language-modeling/quantization/auto_round/deepseek/README.md). |
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## Evaluate Results |
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| Task | backend | BF16 | MXFP8 | |
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|:---------:|:-------:|:--------:|:-------:| |
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| hellaswag | vllm | 0.6903 | 0.6956 | |
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| piqa | vllm | 0.8319 | 0.8324 | |
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| mmlu | vllm | 0.8489 | 0.8532 | |
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| gsm8k | vllm | 0.9568 | 0.9583 | |
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## Ethical Considerations and Limitations |
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The model can produce factually incorrect output, and should not be relied on to produce factually accurate information. |
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Because of the limitations of the pretrained model and the finetuning datasets, it is possible that this model could generate lewd, biased or otherwise offensive outputs. |
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Therefore, before deploying any applications of the model, developers should perform safety testing. |
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## Caveats and Recommendations |
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. |
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Here are a couple of useful links to learn more about Intel's AI software: |
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- [Intel Neural Compressor](https://github.com/intel/neural-compressor) |
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- [AutoRound](https://github.com/intel/auto-round) |
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## Disclaimer |
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The license on this model does not constitute legal advice. |
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We are not responsible for the actions of third parties who use this model. |
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Please consult an attorney before using this model for commercial purposes. |
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