Xiaomi MiMo Releases DFlash Acceleration Scheme
karminski3 · x · 2026-07-13
Xiaomi released MiMo-V2.5-DFlash on Hugging Face; the code is already out even though the README hasn't been updated yet.
The focus isn't on "how strong the new model is," but rather its speculative decoding implementation: the draft model uses block diffusion to guess an entire block of tokens in a single forward pass, which are then verified by the large model all at once. The author breaks down the code, noting that this is a completely different route from traditional autoregressive drafting like EAGLE.
Implementation details mentioned:
- In coding contexts, acceptance length can reach 6+, resulting in significant speedups
- Draft weights are extracted separately, taking up about 2.94G locally
- It's not a standalone small model; lacking embed / lmhead, it still requires KV injection from the main model's hidden state
- targetlayerids are aggressively set to [0, 11, 23, 35, 47]
- blocksize=8 is more conservative than in papers and Qwen implementations, potentially offering more stability but slightly lower parallelism
Overall, this is a technical teardown focused on an inference acceleration plugin/deployment scheme rather than just a new model announcement.
Related event: Xiaomi Releases MiMo-V2.5-DFlash Weights and Code(2 posts)→
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