The story so far
Weights, every dated article, and repo commits on one rail.
10 dated articles and 10 repo commits so far
Teal is the weights (2025-04-29), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.
Up to date
XiaomiMiMo MIT out 18 months ago
7.83B parameters, text in, text out, 32K tokens of context.
Verified 2026-10-25 Rank #698 in LLMs · score 72.1 method v1 Sources 3 Downloads 30d 31k · #421 of 619 tracked
Picked by rule from 11 tracked pieces: the lab's own post, the most shared, a field report, the latest.
MiMo-V2.6-Pro is a multimodal open-weight model from Xiaomi released on September 21, 2026, that scores 46 on the Artificial Analysis Intelligence Index.
The 2 picks above, plus these 9. Top is the radar's score: discussion, source authority and the lab's own posts, fading with age.
Hugging Face does not say who downloads a model or with what. These are the proxies: API providers listing it, quantized builds, fine-tunes/adapters/merges, and Spaces that load it.
No API provider serves it, so its downloads are people running it themselves: 3 quantized builds and 8 Spaces.
Top Spaces running it: ISEEKYAN/megatron_memory_estimator ♥ 35 · ISEEKYAN/megatron_memory_estimator_old ♥ 19 · orangewong/xiaomi-mimo-7b-rl ♥ 8
Weights only, an estimate: leave room for the KV cache. Method
About 4.7 GB at INT4, 9.4 GB at FP8, 19 GB at BF16: weights only, so leave room for the KV cache.
Estimate params × bytes per param × 1.2 · how we estimate
Weights, every dated article, and repo commits on one rail.
Teal is the weights (2025-04-29), amber triangles are 10 dated articles (each links to it), grey ticks are repo commits.
3 derivatives on the Hub. Which build to run, by runtime: the most downloaded in each class.
From the Hugging Face model tree; quantized builds in teal, fine-tunes, merges and adapters in greys.
Everything else, folded: the full tables, every source.
Labels are evidence, not verdicts: measured a third-party leaderboard row for this model; author-reported a number the model author published in the card or eval files; structural a deterministic signal from the name, config or chat template, or a decision-model estimate. Each chip links to its source. All use cases.
Listed in LLMs
| Pipeline tag | text-generation |
|---|---|
| Library | transformers |
| Architectures | MiMoForCausalLM |
| Model type | mimo |
| Dtype | bfloat16 |
| Params by dtype | BF16: 7,833,409,536 |
| Size band | M |
| MoE | no |
| Context length | 32,768 (config.json max_position_embeddings) |
| Papers | arXiv:2505.07608 |
| License | MIT (mit) |
| Hub snapshot | 2026-10-25 |
vLLM: supported · MiMoForCausalLM · 7050ef881ff0835f6890a47db1859a24c65481d6SGLang: supported · MiMoForCausalLM · 773cb938fe9484a8f7e7e46fb1b1fe96412c59ed
vLLM registry (7050ef881ff0835f6890a47db1859a24c65481d6) · SGLang registry (773cb938fe9484a8f7e7e46fb1b1fe96412c59ed) · Matched by architecture class name against each project's registry on main; 'supported' means the architecture is registered, not that this checkpoint was tested.
Weights-only memory for MiMo-7B-RL: params × bytes/param × 1.2 overhead. KV cache and activations are extra. How this is computed.
| BF16 (2 bytes/param) | 19 GB · Single GPU (<24 GB) |
|---|---|
| FP8 (1 byte/param) | 9.4 GB · Single GPU (<24 GB) |
| INT4 (0.5 bytes/param) | 4.7 GB · Single GPU (<24 GB) |
Weights only (params × bytes/param × 1.2 overhead); KV cache and activations extra.
quantized: 3
| Variant | Relation | Quant | Params | Band | License | Author | Likes | Downloads |
|---|---|---|---|---|---|---|---|---|
| jedisct1/MiMo-7B-RL-GGUF | quantized | GGUF | — | — | mit | jedisct1 | 30 | 43.4k |
| quantflex/MiMo-7B-RL-nomtp-GGUF | quantized | GGUF | — | — | mit | quantflex | 2 | 6.6k |
| mlx-community/MiMo-7B-RL-4bit | quantized | -4bit | 7.62B | M | mit | mlx-community | 1 | 1.5k |
| Date | Commit | SHA |
|---|---|---|
| 2025-06-05 | Update README.md | 6299b5a |
| 2025-05-13 | Update README.md | 8aa36ea |
| 2025-05-13 | [Add] `tokenizer_class` in config to make it usable by the `pipeline` API (#10) | 5304ef1 |
| 2025-05-05 | Add library_name to the model (#2) | 5d40cdb |
| 2025-05-05 | Update README.md | 9c071e0 |
| 2025-04-30 | Update formulas in README.md | 8c8a496 |
| 2025-04-30 | init Xiaomi-MiMo | 163b6d7 |
| 2025-04-30 | init Xiaomi-MiMo | 68c4525 |
| 2025-04-29 | init Xiaomi-MiMo | 6103a58 |
| 2025-04-29 | initial commit | 54501ee |
Ranked by source signals (HN, Lobsters, authority domains, official posts) and recency. Summaries are generated from a stored copy of the article text; every sentence cites a span of that text, and nothing is shown that failed the citation check.
arXiv links found in the model card and its tags. "Peer-reviewed" is shown only with evidence: a published venue in OpenAlex (measured) or the authors' own journal reference on arXiv (reported).
Hub snapshot: 2026-10-25 · HF API: 2026-10-24 21:41 UTC · Providers: 2026-10-24 21:44 UTC · Articles: 2026-10-24 21:46 UTC · Summary: 2026-10-07 15:13 UTC · Last verified 2026-10-25
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