z-lab / Alpamayo-1.5-10B-DFlash

Alpamayo 1.5 — DFlash draft

Flash Vision-Language-Action Inference for Autonomous Driving

DFlash draft model for z-lab/Alpamayo-1.5-10B , used by FlashDrive to accelerate the chain-of-causation reasoning of Alpamayo 1.5 .

DFlash (ICML 2026) uses a lightweight block-diffusion draft to propose several tokens in parallel; the target verifies each block in a single forward, preserving its output distribution. This draft is a 2-layer Qwen3-style network (block size 8) conditioned on target hidden states from layers 24/30/31/32/34. The repository also ships mask_embedding.pt , the trained mask-token embedding FlashDrive appends to the target's embedding table.

Not a standalone language model. FlashDrive attaches it to the base checkpoint automatically — you do not load this repository directly.

Usage

import flashdrive

# from_pretrained fetches this -DFlash checkpoint automatically
model = flashdrive.from_pretrained("z-lab/Alpamayo-1.5-10B")

See the base model card and the FlashDrive repository for the full pipeline.

License

This checkpoint is derived from NVIDIA's Alpamayo weights and is governed by the NVIDIA License , which permits non-commercial use only and extends to derivative works. The FlashDrive inference code is separately released under the MIT License .

Citation

@inproceedings{chen2026dflash,
  title     = {{DFlash: Block Diffusion for Flash Speculative Decoding}},
  author    = {Chen, Jian and Liang, Yesheng and Liu, Zhijian},
  booktitle = {International Conference on Machine Learning (ICML)},
  year      = {2026}
}

@article{li2026flashdrive,
  title  = {{FlashDrive: Flash Vision-Language-Action Inference for Autonomous Driving}},
  author = {Li, Zekai and Liang, Yihao and Zhang, Hongfei and Chen, Jian and Liang, Yesheng and Liu, Zhijian},
  year   = {2026}
}