Xiaomi MiMo team says MiMo-V2.6 it may have completed the largest single reinforcement learning training run in the open-source model field

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Luo Fuli:MiMo-V2.6 or completed one of the largest single reinforcement learning training runs in the open-source model space

PANews September 22 news, Xiaomi MiMo team member Luo Fuli wrote that MiMo-V2.6 by compute scale, this may be one of the largest single reinforcement learning training runs conducted by an open-source model team to date. Despite constrained computing resources, the team committed dozens of people and advanced reinforcement learning scaling over an extended period. Model capabilities took shape during the mid-training stage and were further unlocked through large-scale reinforcement learning. She said that, for medium-difficulty verifiable tasks such as coding, the team uses MixRL MOPD training; tasks that are difficult to verify, have extremely long horizons, or are overly complex are trained separately, and then MOPD MixRL is used to combine capabilities. To advance research on agent reinforcement learning, the team also released a Qwen model distilled from MiMo reinforcement learning trajectories, 7000 diverse environments, and a complete reinforcement learning training framework. Luo Fuli stated that MiMo-V2.6 MiMo-V2.6 is only the starting point, and the team will continue...

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Key points

Luo Fuli said that MiMo-V2.6 in terms of compute scale, this may be one of the largest single reinforcement learning training runs conducted by an open-source model team to date.
The team assigned dozens of people and advanced reinforcement learning scaling over an extended period.
The team adopts MixRL training for verifiable, moderately difficult tasks such as code.
The team combines MOPD capabilities acquired through different types of training.
The team released a Qwen model distilled from MiMo reinforcement learning trajectories, 7000 diverse environments, and a complete reinforcement learning training framework.
Luo Fuli stated that MiMo-V2.6 this is only the starting point.

AI-assisted interpretation

The following is analysis, separate from reported facts. Verify important claims independently.

Reinforcement learning is a method of training models through repeated attempts and improvement based on the results. The article states that the MiMo team trains different types of tasks separately, then combines the related capabilities, and releases supporting models, environments, and training frameworks.

Why it matters to readers

If the claims in the article are further confirmed, this indicates that open-source model teams are scaling up reinforcement learning training and publicly releasing related research resources.

This news helps beginners understand the relationship between model training scale, reinforcement learning, training environments, and training frameworks.

Risks and unknowns

“One of the largest” is Luo Fuli’s characterization; no comparable specific computing-power figures were provided as evidence.
The original text is truncated at “the team will continue...”; the subsequent plan is incomplete.
The evidence does not specify the specific content or usage of 7000 environments.BIBIBI_NUM

Xiaomi MiMo team says MiMo-V2.6 it may have completed the largest single reinforcement learning training run in the open-source model field

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