Today, we are releasing Mistral Large, our latest model. Mistral Large is vastly superior to Mistral Medium, handles 32k tokens of context, and is natively fluent in English, French, Spanish, German, and Italian. We have also updated Mistral Small on our API to a model that is

Super proud of what the BigCode community achieved. Building the best in class code LLMs in an open and collaborative way is no easy feat and is the result of the hard work of many community members!

timm 1.0.3 is pushed out the door and almost at 30k🌟 It's been stable for ages, why 1.0 now? I wanted one long promised feature in -- unified feature map extraction (features_only=True) for almost all models, incl ViT 🎉 Accomplished via new API. github.com/huggingface/py…

Announcing Codestral: our first-ever code model. - Open-weights under the new Mistral AI Non-Production License - New endpoint via La Plateforme: codestral.mistral.ai - Try it now on Le Chat: chat.mistral.ai mistral.ai/news/codestral/

Try Mistral AI Codestral in JupyterLit (JupyterAI in the browser) -> jupyterlite.github.io/jupyterlab-cod…

📢 After 3 months, the AI Mathematical Olympiad (AIMO) on Kaggle has announced the winners! 🎉 We're thrilled to see the Top 4 teams all chose DeepSeekMath-7B as their base model, with Numina Jia Li achieving 29/50 correct answers! 👏 Even Terence Tao was amazed. 🤯

Introducing NuminaMath-7B-TIR, the small but mighty model that won the first progress prize of the AI Math Olympiad 🥇! > Fine-tuned with iterative SFT on DeepSeekMath-7B from DeepSeek > Stage 1: learn math with chain of thought samples > Stage 2: learn code with

Proud to officially introduce Numina to the world ! projectnumina.ai We also released a blog post about our approach with some details of our model: huggingface.co/blog/winning-a… This makes NuminaMath 7B one of the best 7B models on math reasoning !

Today we are releasing two small models: Mathstral 7B and Codestral Mamba 7B. On the MATH benchmark, Mathstral 7B obtains 56.6% pass@1, outperforming Minerva 540B by more than 20%. Mathstral scores 68.4% on MATH with majority voting@64, and 74.6% using a reward model. Codestral

Our prize winning Math recipe is now released with datasets, training code and a new 72B math model. See thread for more details:

mistral.ai/news/mistral-l…

magnet:?xt=urn:btih:7278e625de2b1da598b23954c13933047126238a&dn=pixtral-12b-240910&tr=udp%3A%2F%2Ftracker.opentrackr.org%3A1337%2Fannounce&tr=udp%3A%2F%2Fopen.demonii.com%3A1337%2Fannounce&tr=http%3A%2F%2Ftracker.ipv6tracker.org%3A80%2Fannounce