Mistral’s prowess comes in its ability to work with 32k token contexts, function in multiple languages including English, German, Spanish, Italian and French, and generate excellent code. Thanks to its ability to transform itself into a model that executes instructions, Mistral’s performance matches or exceeds ChatGPT 3.5 in several benchmarks.
But the real sensation lies in the local deployment of Mistral. Users can run Mistral locally using Ollama, an effective tool, and can even use dolphin-mistral, the uncensored version that offers better customization.
Mistral encourages users to train their own models. With Hugging Face’s support, users can choose a model and upload their own data.
Source: Ferra
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