XiaomiMiMo/MiMo-V2.6-Flash-RL
text-generation model by XiaomiMiMo
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Model card & documentation
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🤗 HuggingFace | 📰 Blog | 🎨 Xiaomi MiMo API Platform | 🗨️ Xiaomi MiMo Studio | 💻 Xiaomi MiMo Desktop | Community WeChat Group | Discord | Telegram | Reddit Scaling Reinforcement Learning Toward Self-Improvement Technical Report MiMo-V2.6-Flash-RL is the efficiency-balanced checkpoint of the MiMo-V2.6 series. The series is built to scale reinforcement learning toward self-improvement — scaling RL compute, environment diversity, and grader compute together, so the model keeps expanding its capability frontier through exploration and feedback. Key features include: Figure 1. MiMo-V2.6 architecture. The first Transformer block uses global attention with a dense FFN. Remaining blocks interleave local SWA and GA; both use sparse MoE FFNs without shared experts. AudioTokenizer encoder: 24 layers (12 SWA / 12 GA), hidden 1024, 20 RVQ codebooks, 308M parameters. Audio patch encoder: 6 layers, 127M parameters; four frames per patch (25 Hz → 6.25 Hz). 5-layer SWA MTP drafter (DFlash-style). Predicts…
Read the full model card ↗ · Preview checked 2026-11-04T00:43:19.170Z
Inside the original model card — Document outline
- MiMo-V2.6-Flash-RL
- 1. Introduction
- Model Summary
- 2. Downloads
- 3. Evaluation Results
- 4. Model Architecture
- LLM Backbone
- Vision Encoder (MiMo ViT)
- Audio Encoders
- Speculative Decoder
- 5. Deployment
- SGLang
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Documentation belongs to its respective authors. Reported project/model license: mit. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
XiaomiMiMo/MiMo-V2.6-Flash-RL is a text-generation model repository published by XiaomiMiMo on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- transformers
- Recent downloads (30 days)
- 48,645
- Cumulative likes
- 535
- Hugging Face trending score
- 51
- Reported safetensors parameters
- 310,756,322,688
- Architecture
- MiMoV2ForCausalLM
- License
- mit
- Access
- Not gated by Hugging Face
- Created
- 2026-09-21T15:39:51.000Z
- Last modified
- 2026-09-22T03:52:25.000Z
Compatibility and lineage
Reported languages: en, zh
Base-model lineage was not included.
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-04T06:38:41.811Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.