Mistral 7B
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Mistral 7B
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Mistral 7B
The Mistral 7B paper introduces a compact yet powerful language model that, despite its relatively modest size of 7 billion tokens, outperforms its larger counterparts, such as the 13B Llama 2 model, in various benchmarks. (Next to the two-times larger Qwen 14B, Mistral 7B was also the base model used in the winning solutions of this year's NeurIPS LLM Finetuning & Efficiency challenge.)
Contributeurs: Patrick Drouin, wiki