**Mistral 7B** is a 7-billion-parameter language model designed to achieve superior performance and efficiency. It outperforms the best open 13B model (Llama 2) across all evaluated benchmarks and surpasses the best released 34B model (Llama 1) in reasoning, mathematics, and code generation. The model leverages grouped-query attention (GQA) for faster inference and sliding window attention (SWA) to handle sequences of arbitrary length with reduced inference cost. A fine-tuned version, **Mistral 7B – Instruct**, excels in following instructions, outperforming Llama 2 13B – chat model on both human and automated benchmarks. The model is released under the Apache 2.0 license and is accompanied by a reference implementation for easy deployment on various platforms. **Key Features:** - **Performance and Efficiency:** Mistral 7B demonstrates high performance while maintaining efficient inference. - **Attention Mechanisms:** GQA and SWA enhance inference speed and handle longer sequences effectively. - **Fine-Tuning:** The model is easily fine-tuned for various tasks, including instruction-following. - **Evaluation:** Comprehensive benchmark results show superior performance compared to Llama 2 and Llama 1 models. - **Content Moderation:** The model can be used for content moderation, classifying prompts and answers into acceptable categories. **Conclusion:** Mistral 7B opens new perspectives in the field of language models by compressing knowledge more efficiently, balancing model capabilities, training costs, and inference costs.**Mistral 7B** is a 7-billion-parameter language model designed to achieve superior performance and efficiency. It outperforms the best open 13B model (Llama 2) across all evaluated benchmarks and surpasses the best released 34B model (Llama 1) in reasoning, mathematics, and code generation. The model leverages grouped-query attention (GQA) for faster inference and sliding window attention (SWA) to handle sequences of arbitrary length with reduced inference cost. A fine-tuned version, **Mistral 7B – Instruct**, excels in following instructions, outperforming Llama 2 13B – chat model on both human and automated benchmarks. The model is released under the Apache 2.0 license and is accompanied by a reference implementation for easy deployment on various platforms. **Key Features:** - **Performance and Efficiency:** Mistral 7B demonstrates high performance while maintaining efficient inference. - **Attention Mechanisms:** GQA and SWA enhance inference speed and handle longer sequences effectively. - **Fine-Tuning:** The model is easily fine-tuned for various tasks, including instruction-following. - **Evaluation:** Comprehensive benchmark results show superior performance compared to Llama 2 and Llama 1 models. - **Content Moderation:** The model can be used for content moderation, classifying prompts and answers into acceptable categories. **Conclusion:** Mistral 7B opens new perspectives in the field of language models by compressing knowledge more efficiently, balancing model capabilities, training costs, and inference costs.