DownloadMistral-7B-v0.1 is a pretrained 7-billion parameter transformer language model developed by Mistral AI, designed to deliver high performance with optimized compute efficiency. It outperforms Llama 2 13B on all evaluated benchmarks despite its smaller size. The architecture integrates Grouped-Query Attention (GQA) and Sliding-Window Attention, enabling efficient inference and improved long-context performance. Mistral-7B uses a byte-fallback BPE tokenizer for better multilingual and code handling. Released under the Apache 2.0 license, it is openly available for research and commercial use. As a base model, it does not include alignment, safety, or moderation mechanisms, making it suitable for developers building customized applications. It is widely adopted in the open-source community, serving as a strong foundation for instruction-tuned and specialized fine-tuned models.
Features
- 7B parameters with high performance across standard benchmarks
- Outperforms Llama 2 13B in multiple NLP tasks
- Grouped-Query Attention for efficient parallelism
- Sliding-Window Attention improves long-sequence handling
- Byte-fallback BPE tokenizer for robust tokenization
- Openly licensed under Apache 2.0 for commercial and research use
- Highly flexible base model with no alignment or safety layers
- Supported by Hugging Face ecosystem and widely fine-tuned by the community
Project Samples
