# SemiAnalysis 解读小米 MiMo V2.6 后训练直播指标：双模型并行 RL 训练

- 来源：SemiAnalysis (@SemiAnalysis_)
- 发布时间：2026-09-18 11:00
- AIHOT 分数：51
- AIHOT 链接：https://aihot.news/items/cmu6dur7x0kuorofjhhg9cyf9
- 原文链接：https://x.com/SemiAnalysis_/status/2100781906879012870

## AI 摘要

小米 MiMo 正直播进行 MiMo-V2.6 的 RL 训练，SemiAnalysis 从直播指标读出其同时训练两个模型：MiMo V2.6 Pro（1T 总参数、42B 激活）和 MiMo V2.6 Flash（310B 总参数、15B 激活）。

## 正文

How we read the livestream metrics of @XiaomiMiMo post-training:

🟠 MiMo is training 2 models: MiMo V2.6 Pro (1T total, 42B active) and MiMo V2.6 Flash (310B total, 15B active)

🟠 The metrics tab contains different metrics broken down by data categories, each with different number of datasets. Agentic: 1, Chat: 3, Code: 11, Cyber: 1, General: 4, Visual: 6

🟠 Actor is the LLM model, the metrics are training state-related, eg loss, gradient norms, etc

🟠 Critic is the information about the advantage. It seems like return is a duplicate of advantage, and score is a duplicate of reward

🟠 The "dynsam" metric implies they are doing dynamic sampling. "avg@n" metric being 0.636 likely means 1 - 0.636 = 36.4% of rollouts are filtered out. (1/3)🧵
https://x.com/_LuoFuli/status/2100296686719610932

### 引用推文

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