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README.md
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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 card is for mxfp8 quantization of [unsloth/DeepSeek-R1-BF16](https://huggingface.co/unsloth/DeepSeek-R1-BF16) based on [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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| **average** | vllm | **0.8320** | **0.8349** |
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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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