Fix README metadata and assets

README.md

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+---
+base_model: z-lab/Alpamayo-R1-10B-DFlash
+tags:
+- safetensors
+- qwen3
+- flashdrive
+- dflash
+- speculative-decoding
+- block-diffusion
+- draft-model
+- autonomous-driving
+- vision-language-action
+- robotics
+- en
+- arxiv:2602.06036
+- base_model:z-lab/Alpamayo-R1-10B
+- base_model:finetune:z-lab/Alpamayo-R1-10B
+- license:other
+- region:us
+---
+
+# Alpamayo R1 10B DFlash GGUF
+
+GGUF quantizations of [**z-lab DFlash draft model**](https://huggingface.co/z-lab/Alpamayo-R1-10B-DFlash) for [**Alpamayo R1 10B**](https://huggingface.co/z-lab/Alpamayo-R1-10B).
+
+Use with [BeeLlama.cpp](https://github.com/Anbeeld/beellama.cpp), a llama.cpp fork with advanced quantization features.
+
+---
+
+# Alpamayo 1 (R1) — DFlash draft
+
+**Flash Vision-Language-Action Inference for Autonomous Driving**
+
+[![Paper](https://img.shields.io/badge/arXiv-2602.06036-b31b1b.svg)](https://arxiv.org/abs/2602.06036)
+[![GitHub](https://img.shields.io/badge/GitHub-FlashDrive-181717?logo=github)](https://github.com/z-lab/flashdrive)
+[![Blog](https://img.shields.io/badge/Blog-FlashDrive-blue)](https://z-lab.ai/projects/flashdrive/)
+[![Models](https://img.shields.io/badge/%F0%9F%A4%97-Models-yellow)](https://huggingface.co/collections/z-lab/flashdrive)
+
+[DFlash](https://github.com/z-lab/dflash) draft model for [z-lab/Alpamayo-R1-10B](https://huggingface.co/z-lab/Alpamayo-R1-10B), used by [FlashDrive](https://github.com/z-lab/flashdrive) to accelerate the chain-of-causation reasoning of [Alpamayo 1 (R1)](https://huggingface.co/nvidia/Alpamayo-R1-10B).
+
+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.
+
+> [!NOTE]
+> **Not a standalone language model.** FlashDrive attaches it to the [base checkpoint](https://huggingface.co/z-lab/Alpamayo-R1-10B) automatically — you do not load this repository directly.
+
+## Usage
+
+```python
+import flashdrive
+
+# from_pretrained fetches this -DFlash checkpoint automatically
+model = flashdrive.from_pretrained("z-lab/Alpamayo-R1-10B")
+```
+
+See the [base model card](https://huggingface.co/z-lab/Alpamayo-R1-10B) and the [FlashDrive repository](https://github.com/z-lab/flashdrive) for the full pipeline.
+
+## License
+
+This checkpoint is derived from NVIDIA's Alpamayo weights and is governed by the [NVIDIA License](https://huggingface.co/nvidia/Alpamayo-1.5-10B/blob/main/LICENSE), which permits **non-commercial use only** and extends to derivative works. The [FlashDrive](https://github.com/z-lab/flashdrive) inference code is separately released under the [MIT License](https://github.com/z-lab/flashdrive/blob/main/LICENSE).
+
+## Citation
+
+```bibtex
+@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}
+}
+```
+
+```bibtex
+@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}
+}
+```