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Mistral launches Small 3, a latency-optimized 24B-parameter model that it says is competitive with larger models such as Llama 3.3 70B or Qwen 32B

Apache 2.0, 81% MMLU, 150 tokens/s  —  Today we're introducing Mistral Small 3, a latency-optimized 24B-parameter model released under the Apache 2.0 license.

Mistral AI

Discussion

  • @lmstudio @lmstudio on x
    .@MistralAI's Small 3 in now available in LM Studio! 🎉 - 24B params - Apache 2.0 - Over 81% accuracy on MMLU From the terminal, run: “lms get mistral-small-24b” [image]
  • @paul_jacob_ Paul Jacob on x
    Mistral Small 3: - 24B params - 81% MMLU - 150 tokens/s - Competitive with Llama-3.3 70B, Qwen-2.5 32B, GPT4o-mini - Apache 2.0
  • @ollama @ollama on x
    ollama run mistral-small:24b Mistral Small 3 is here under Apache 2.0!
  • @tres_sarcastik Léo on x
    @MistralAI This gets me excited. [image]
  • @dchaplot Devendra Chaplot on x
    Announcing Mistral Small 3! - 24B params, 81% MMLU - Latency optimized: 150 tokens/s - Competitive with Llama-3.3 70B, Qwen-2.5 32B, GPT4o-mini - Apache 2.0 🔗Blog: https://mistral.ai/... 1/N [image]
  • @usb_type_d @usb_type_d on x
    @MistralAI “No synthetic data” mild shots at deepseek
  • @rseroter Richard Seroter on x
    You've had your fill of DeepSeek news and are already looking for other AI models to gaze at? @MistralAI Small 3 is out today and offers impressive perf: https://mistral.ai/... @allen_ai just shipped Tülu 3 405B with some terrific perf: https://allenai.org/...
  • @kaggle @kaggle on x
    🤖 @MistralAI's Small 3 is now available on #KaggleModels! Learn more: https://www.kaggle.com/...
  • @maxwinebach Max Weinbach on x
    Notice how small models are slowly getting less small? Small was 3-7B parameters, then 14B, now 24B
  • @maxwinebach Max Weinbach on x
    This goes with my thought that while edge compute is great, these small models won't do it. You'll need 3B specialized models trained to sort/format data in an efficient way to send to a larger model in a cloud. Mixture of Agents.
  • @firstadopter Tae Kim on x
    I'll say again. If Mistral launched this same model (and they literally did similar efficiency gains with MoE in prior models), no one would have cared because it was France not China.
  • @binarybits Timothy B. Lee on x
    I don't think “no one would have cared.” It's a genuinely impressive model. But there are exponentially more dumb takes about it (both inflating its significance and calling it a fraud or stolen) than we would have gotten about a mistral model.
  • @mistralai @mistralai on x
    Introducing Small 3, our most efficient and versatile model yet! Pre-trained and instructed version, Apache 2.0, 24B, 81% MMLU, 150 tok/s. No synthetic data so great base for anything reasoning - happy building! https://mistral.ai/...
  • r/LocalLLaMA r on reddit
    Mistral Small