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license: apache-2.0 |
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datasets: |
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- HuggingFaceTB/cosmopedia |
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language: |
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- en |
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metrics: |
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- accuracy |
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- code_eval |
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--- |
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# Mistral-Pro-8B Model Card |
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## Model Description |
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Mistral-Pro is a progressive version of the original [Mistral](https://huggingface.co/mistralai/Mistral-7B-v0.1) model, enhanced by the addition of Transformer blocks. It specializes in integrating both general language understanding and domain-specific knowledge, particularly in programming and mathematics. |
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## Development and Training |
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Developed by Tencent's ARC Lab, Mistral-Pro is an 8 billion parameter model. It's an expansion of Mistral-7B, further trained on code and math corpora. |
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## Intended Use |
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This model is designed for a wide range of NLP tasks, with a focus on programming, mathematics, and general language tasks. It suits scenarios requiring integration of natural and programming languages. |
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## Performance |
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Mistral_Pro_8B_v0.1 showcases superior performance on a range of benchmarks. It enhances the code and math performance of Mistral. Furthermore, it matches the performance of the recently dominant model, [Gemma](https://huggingface.co/google/gemma-7b). |
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### Overall Performance on Languages, math and code tasks |
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| Model | ARC | Hellaswag | MMLU | TruthfulQA | Winogrande | GSM8K | HumanEval | |
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| :-: | :-: | :-: | :-: | :-: | :-: | :-: | :-: | |
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| Gemma-7B | 61.9 | 82.2 | 64.6 | 44.8 | 79.0 | 50.9 | 32.3 | |
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| Mistral-7B | 60.8 | 83.3 | 62.7 | 42.6 | 78.0 | 39.2 | 28.7 | |
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| Mistral_Pro_8B_v0.1 | 62.6 | 82.5 | 60.7 | 47.6 | 78.1 | 50.3 | 32.3 | |
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## Limitations |
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While Mistral-Pro addresses some limitations of previous models in the series, it may still encounter challenges specific to highly specialized domains or tasks. |
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## Ethical Considerations |
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Users should be aware of potential biases in the model and use it responsibly, considering its impact on various applications. |
