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README.md

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+---
+base_model: z-lab/Qwen3-Coder-Next-DFlash
+tags:
+- transformers
+- safetensors
+- qwen3
+- feature-extraction
+- dflash
+- speculative-decoding
+- block-diffusion
+- draft-model
+- efficiency
+- qwen
+- diffusion-language-model
+- text-generation
+- custom_code
+- arxiv:2602.06036
+- license:mit
+- text-generation-inference
+- endpoints_compatible
+- region:us
+---
+
+# Qwen 3 Coder Next DFlash GGUF
+
+GGUF quantizations of [**z-lab DFlash draft model**](https://huggingface.co/z-lab/Qwen3-Coder-Next-DFlash) for [**Qwen 3 Coder Next**](https://huggingface.co/Qwen/Qwen3-Coder-Next).
+
+Use with [BeeLlama.cpp](https://github.com/Anbeeld/beellama.cpp), a llama.cpp fork with advanced quantization features.
+
+---
+
+# Qwen3-Coder-Next-DFlash
+
+[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
+
+**DFlash** is a speculative decoding method that uses a lightweight **block diffusion** model to draft multiple tokens in parallel. This is the drafter model, which must be paired with [Qwen/Qwen3-Coder-Next](https://huggingface.co/Qwen/Qwen3-Coder-Next).
+
+<div align="center">
+  <img src="assets/dflash_system.png" alt="DFlash Architecture" width="85%">
+</div>
+
+## Quick Start
+
+### Installation
+
+vLLM:
+```bash
+uv pip install vllm
+uv pip install -U vllm --torch-backend=auto --extra-index-url https://wheels.vllm.ai/nightly
+```
+
+SGLang:
+```bash
+uv pip install "git+https://github.com/sgl-project/sglang.git@refs/pull/20547/head#subdirectory=python"
+```
+
+### Launch Server
+
+vLLM:
+```bash
+vllm serve Qwen/Qwen3-Coder-Next \
+  --speculative-config '{"method": "dflash", "model": "z-lab/Qwen3-Coder-Next-DFlash", "num_speculative_tokens": 15}' \
+  --attention-backend flash_attn \
+  --max-num-batched-tokens 32768
+```
+
+SGLang:
+```bash
+# Optional: enable schedule overlapping (experimental, may not be stable)
+# export SGLANG_ENABLE_SPEC_V2=1
+# export SGLANG_ENABLE_DFLASH_SPEC_V2=1
+# export SGLANG_ENABLE_OVERLAP_PLAN_STREAM=1
+
+python -m sglang.launch_server \
+    --model-path Qwen/Qwen3-Coder-Next \
+    --speculative-algorithm DFLASH \
+    --speculative-draft-model-path z-lab/Qwen3-Coder-Next-DFlash \
+    --speculative-num-draft-tokens 16 \
+    --tp-size 1 \
+    --attention-backend fa3 \
+    --mem-fraction-static 0.75 \
+    --mamba-scheduler-strategy extra_buffer \
+    --trust-remote-code
+```
+> **Tip:** For long-context or agentic workloads, add `--speculative-dflash-draft-window-size WINDOW_SIZE` to enable sliding-window attention for the drafter.
+
+### Usage
+
+```python
+from openai import OpenAI
+
+client = OpenAI(base_url="http://localhost:30000/v1", api_key="EMPTY")
+
+response = client.chat.completions.create(
+    model="Qwen/Qwen3-Coder-Next",
+    messages=[{"role": "user", "content": "Write a quicksort in Python."}],
+    max_tokens=4096,
+    temperature=0.0
+)
+print(response.choices[0].message.content)
+```
+
+## Acceptance Length
+
+- Max new tokens: 4096
+- Block size: 16 
+| Dataset   | Accept Length |
+|-----------|---------------|
+| HumanEval | 7.25 |
+| MBPP      | 5.50 |
+| LiveCodeBench  | 5.50 |
+
+## Acknowledgements
+
+Special thanks to [David Wang](https://davidwa.ng/) for his outstanding engineering support on this project. We are also grateful to [Modal](https://modal.com/), [InnoMatrix](https://innomatrix.ai), and [Yotta Labs](https://www.yottalabs.ai/) for providing the compute resources used to train this draft model.
+
+## Citation
+
+If you find DFlash useful, please cite our work. To share feedback on DFlash or request new model support, please fill out this form: [DFlash Feedback](https://forms.gle/4YNwfqb4nJdqn6hq9).
+
+```bibtex
+@article{chen2026dflash,
+  title   = {{DFlash: Block Diffusion for Flash Speculative Decoding}},
+  author  = {Chen, Jian and Liang, Yesheng and Liu, Zhijian},
+  journal = {arXiv preprint arXiv:2602.06036},
+  year    = {2026}
+}
+```