UnslothAI and NeuralMagic Optimize Mistral v3 for 2x Faster Inference and Longer Context Support
Companies like UnslothAI and NeuralMagic have made significant improvements to the Mistral v3 model, allowing for faster finetuning, reduced VRAM usage, and longer context windows. The latest optimizations enable 2x faster inference and support for 4x longer context windows compared to previous versions.
Sources
Red Hat AICheck this out! Only a few hours after its release, our team optimized Mistral-7B-Instruct-v0.3 for 3x faster deployment with #vLLM. You can now fit the entire model and full 32k context length inside a single A10 GPU. 🙌👏 https://t.co/RzxJpVC6Vl
- Red Hat AI
Check this out! Only a few hours after its release, our team optimized Mistral-7B-Instruct-v0.3 for 3x faster deployment. You can now fit the entire model and full 32k context length inside a single A10 GPU. 🙌👏 https://t.co/RzxJpVC6Vl
Awni Hannun
Checkout the new Mistral v0.3 models with MLX LM. Pre-quantized models in the 🤗 MLX community https://t.co/dUgErUXnM3 h/t @Prince_Canuma ! Generating 512 tokens at 107 toks/sec with the 4-bit model on an M2 Ultra. Models got better but just as fast as ever: https://t.co/NHJ50x22X0
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