TencentARC/Mistral_Pro_8B_v0.1

🤗 Hugging Face 来源text-generationapache-2.09B 参数18 GBsafetensors✓ 5 个校验和今天更新
一条命令提交

在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对,然后提交。你只需开始做种,并粘贴你账户中的密钥。它只读取你的文件,绝不修改。如果愿意,可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo TencentARC/Mistral_Pro_8B_v0.1 ./model-folder
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Mistral-Pro-8B Model Card

Model Description

Mistral-Pro is a progressive version of the original Mistral 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.

Development and Training

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.

Intended Use

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.

Performance

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.

Overall Performance on Languages, math and code tasks

Model ARC Hellaswag MMLU TruthfulQA Winogrande GSM8K HumanEval
Gemma-7B 61.9 82.2 64.6 44.8 79.0 50.9 32.3
Mistral-7B 60.8 83.3 62.7 42.6 78.0 39.2 28.7
Mistral_Pro_8B_v0.1 63.2 82.6 60.6 48.3 78.9 50.6 32.9

Limitations

While Mistral-Pro addresses some limitations of previous models in the series, it may still encounter challenges specific to highly specialized domains or tasks.

Ethical Considerations

Users should be aware of potential biases in the model and use it responsibly, considering its impact on various applications.