👋 Say Hi to MiMo-Audio!
Our BREAKTHROUGH in general-purpose audio intelligence.
🎯 Scaling pretraining to 100M+ hours leads to EMERGENCE of few-shot generalization across diverse audio tasks!
🔥 Post-trained MiMo-Audio-7B-Instruct:
• crushes benchmarks: SOTA on MMSU, MMAU, MMAR, MMAU-Pro
• outperforms Gemini-2.5-Flash on audio understanding
• beats GPT-4o-Audio on complex reasoning tasks
💎 The best part? It's 100% OPEN-SOURCE
Everything from tokenizer to model to evaluations!
🤗 Try it in HF Space: https://t.co/9EwFiHFdkt
📝 Tech Blog:
pretraining — The first, biggest phase of building a model: training it on enormous amounts of text so it learns language, facts, and reasoning in general.
eval — A repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.
AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
Why it matters
The full stack is open, tokenizer through evalA repeatable test for AI quality — a set of tasks plus scoring — used the way software teams use test suites, because model output is too variable to judge by eyeballing.Full definition →, so audio-native AI agentAn AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.Full definition → work can be reproduced rather than only consumed through an API.
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