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MiMo-V2.6-Flash-RL: official model and deployment card

The RL checkpoint’s original card, with engine examples, parallelism and parser requirements. Keep this artifact separate from the MOPD variant.

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Source checked 2026-10-17 · Not independently reproduced by Run AI Here.

THE SOURCE IN CONTEXT

The RL checkpoint’s original card, with engine examples, parallelism and parser requirements. Keep this artifact separate from the MOPD variant.

Which MiMo checkpoint is this?

This is the RL checkpoint, not MOPD. Its card describes 309B total and 15B activated parameters, with a 1M-token context. The companion vLLM recipe now defaults to the MOPD artifact, so copying that default would change the weights. Always record the complete repository name and revision when following the recipe.

Source: XiaomiMiMo · pinned document

Why do the two engine examples use different topology?

The SGLang example uses tensor parallelism eight and data parallelism two, with DP attention and an EAGLE speculative path. The vLLM example uses tensor parallelism four and its own memory and parser settings. They are alternative launch examples; neither is a controlled comparison of two engines on identical hardware.

Source: XiaomiMiMo · pinned document

Which model-specific controls belong in a record?

Both serving paths select the mimo reasoning and tool-call parsers. The card recommends temperature 1.0 and top_p 0.95. The architecture table separates sliding-window and global-attention layers, and describes a multi-layer speculative decoder. A conventional full-attention KV estimate cannot simply be pasted over this hybrid design.

Source: XiaomiMiMo · pinned document

How should the model-card benchmarks be interpreted?

The results table labels a MiMo-V2.6 Flash column alongside other products; it does not establish speed on the topology of either local launch example. Keep the benchmark column identity, task protocol and actual checkpoint evidence separate. This record uses architecture and launch facts and does not turn those product-level quality cells into RL-specific workstation measurements.

Source: XiaomiMiMo · pinned document

What does the source specify?

These declarations belong to the cited document. A planning minimum, model limit and measured runtime allocation are different quantities.

Configuration facts from the pinned source
Total / active parameters309B / 15B
Published context1M tokens
SGLang TP / DP example8 / 2
vLLM TP example4
Recommended samplingtemperature 1.0; top_p 0.95

AI-assisted source reading and original editorial synthesis; no independent model execution.

Key reading notes

Source identity and full condition receipt

Source identity

Attribution and exact source identity
Original publisherXiaomiMiMo
Reference typeOfficial model card
Model IDXiaomiMiMo/MiMo-V2.6-Flash-RL
Default recipe artifactXiaomiMiMo/MiMo-V2.6-Flash-RL
Runtime topics["vLLM", "SGLang"]
Source revisiondcd3fd83fb181622fbc606fbb1709901982a62c2
Source commit date — not experiment date2026-10-09T06:30:29.000Z
Source checked2026-10-17
Declared licensemit

Reported conditions

Unknown fields remain unspecified; context limits and measured input lengths are different
systemNot specified
node_countNot specified
parallelismNot specified
kv_dtypeNot specified
context_limit_tokensNot specified
experiment_dateNot specified
model_revisiondcd3fd83fb181622fbc606fbb1709901982a62c2
weight_hashNot specified
runtime_execution_revisionNot specified
input_tokensNot specified
output_tokensNot specified
concurrencyNot specified
cache_stateNot specified
quantizationNot specified
speculative_decodingNot specified
temperatureNot specified
top_pNot specified

Limits

The complete original tables and raw evidence remain in the linked reports. Selected attributed figures retain their own conditions. Results from different models, weights, runtimes, workloads or cohorts must be read separately.

License scope

Publisher model-card declaration; inspect the linked LICENSE and artifact-specific terms.

This index publishes original explanations, limited attributed factual selections and source pointers. It does not distribute model weights or source repositories. Third-party material retains its own terms.

Related references — check the checkpoint