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README.md

@@ -1,125 +1,125 @@
----
-base_model: z-lab/Qwen3.6-27B-DFlash
-tags:
-- transformers
-- safetensors
-- qwen3
-- feature-extraction
-- dflash
-- speculative-decoding
-- diffusion
-- efficiency
-- flash-decoding
-- qwen
-- diffusion-language-model
-- text-generation
-- custom_code
-- arxiv:2602.06036
-- license:mit
-- text-generation-inference
-- endpoints_compatible
-- region:us
----
-
-# Qwen 3.6 27B DFlash GGUF
-
-GGUF quantizations of [**z-lab DFlash draft model**](https://huggingface.co/z-lab/Qwen3.6-27B-DFlash) for [**Qwen 3.6 27B**](https://huggingface.co/Qwen/Qwen3.6-27B).
-
-Use with [BeeLlama.cpp](https://github.com/Anbeeld/beellama.cpp), a llama.cpp fork with advanced quantization features.
-
----
-
-
-# Qwen3.6-27B-DFlash
-[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
-
-**This model is still under training, and inference engine support may not be fully available yet due to architectural changes, including causal SWA layers.**
-
-**DFlash** is a novel speculative decoding method that utilizes a lightweight **block diffusion** model for drafting. It enables efficient, high-quality parallel drafting that pushes the limits of inference speed.
-
-This model is the **drafter** component. It must be used in conjunction with the target model `Qwen/Qwen3.6-27B`.
-
-<div align="center">
-  <img src="https://huggingface.co/z-lab/Qwen3.6-27B-DFlash/resolve/main/assets/dflash_system.png" alt="DFlash Architecture" width="100%">
-</div>
-
-## Quick Start
-
-### Installation
-
-vLLM (We temporarily modify the installation through this PR to support interleaved SWA and ensure correct handling of target hidden states for optimal performance):
-```bash
-uv pip install vllm
-uv pip install -U --torch-backend=auto "vllm @ git+https://github.com/vllm-project/vllm.git@refs/pull/40898/head"
-```
-
-SGLang:
-```bash
-uv pip install "git+https://github.com/sgl-project/sglang.git@refs/pull/23000/head#subdirectory=python"
-```
-
-### Launch Server
-
-vLLM:
-```bash
-vllm serve Qwen/Qwen3.6-27B \
-  --speculative-config '{"method": "dflash", "model": "z-lab/Qwen3.6-27B-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/Qwen3.6-27B \
-    --speculative-algorithm DFLASH \
-    --speculative-draft-model-path z-lab/Qwen3.6-27B-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
-```
-
-### Usage
-
-```python
-from openai import OpenAI
-
-client = OpenAI(base_url="http://localhost:30000/v1", api_key="EMPTY")
-
-response = client.chat.completions.create(
-    model="Qwen/Qwen3.6-27B",
-    messages=[{"role": "user", "content": "Write a quicksort in Python."}],
-    max_tokens=4096,
-    temperature=0.0
-)
-print(response.choices[0].message.content)
-```
-
-## Benchmark Results
-
-N/A
-
-## 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}
-}
+---
+base_model: z-lab/Qwen3.6-27B-DFlash
+tags:
+- transformers
+- safetensors
+- qwen3
+- feature-extraction
+- dflash
+- speculative-decoding
+- diffusion
+- efficiency
+- flash-decoding
+- qwen
+- diffusion-language-model
+- text-generation
+- custom_code
+- arxiv:2602.06036
+- license:mit
+- text-generation-inference
+- endpoints_compatible
+- region:us
+---
+
+# Qwen 3.6 27B DFlash GGUF
+
+GGUF quantizations of [**z-lab DFlash draft model**](https://huggingface.co/z-lab/Qwen3.6-27B-DFlash) for [**Qwen 3.6 27B**](https://huggingface.co/Qwen/Qwen3.6-27B).
+
+Use with [BeeLlama.cpp](https://github.com/Anbeeld/beellama.cpp), a llama.cpp fork with advanced quantization features.
+
+---
+
+
+# Qwen3.6-27B-DFlash
+[**Paper**](https://arxiv.org/abs/2602.06036) | [**GitHub**](https://github.com/z-lab/dflash) | [**Blog**](https://z-lab.ai/projects/dflash/)
+
+**This model is still under training, and inference engine support may not be fully available yet due to architectural changes, including causal SWA layers.**
+
+**DFlash** is a novel speculative decoding method that utilizes a lightweight **block diffusion** model for drafting. It enables efficient, high-quality parallel drafting that pushes the limits of inference speed.
+
+This model is the **drafter** component. It must be used in conjunction with the target model `Qwen/Qwen3.6-27B`.
+
+<div align="center">
+  <img src="assets/dflash_system.png" alt="DFlash Architecture" width="100%">
+</div>
+
+## Quick Start
+
+### Installation
+
+vLLM (We temporarily modify the installation through this PR to support interleaved SWA and ensure correct handling of target hidden states for optimal performance):
+```bash
+uv pip install vllm
+uv pip install -U --torch-backend=auto "vllm @ git+https://github.com/vllm-project/vllm.git@refs/pull/40898/head"
+```
+
+SGLang:
+```bash
+uv pip install "git+https://github.com/sgl-project/sglang.git@refs/pull/23000/head#subdirectory=python"
+```
+
+### Launch Server
+
+vLLM:
+```bash
+vllm serve Qwen/Qwen3.6-27B \
+  --speculative-config '{"method": "dflash", "model": "z-lab/Qwen3.6-27B-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/Qwen3.6-27B \
+    --speculative-algorithm DFLASH \
+    --speculative-draft-model-path z-lab/Qwen3.6-27B-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
+```
+
+### Usage
+
+```python
+from openai import OpenAI
+
+client = OpenAI(base_url="http://localhost:30000/v1", api_key="EMPTY")
+
+response = client.chat.completions.create(
+    model="Qwen/Qwen3.6-27B",
+    messages=[{"role": "user", "content": "Write a quicksort in Python."}],
+    max_tokens=4096,
+    temperature=0.0
+)
+print(response.choices[0].message.content)
+```
+
+## Benchmark Results
+
+N/A
+
+## 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}
+}
 ```