MLX
Safetensors
qwen3
dflash2
draft-only
speculative-decoding
block-diffusion
draft-model
qwen3.8-27b-target
Instructions to use RESMP-DEV/DFlash2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use RESMP-DEV/DFlash2 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download RESMP-DEV/DFlash2 --local-dir DFlash2
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Clarify DFlash2 draft-only model role
Browse files
README.md
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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base_model:
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- Qwen/Qwen3.8-27B
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inference: false
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tags:
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- dflash2
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- speculative-decoding
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- block-diffusion
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- draft-model
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- mlx
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---
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#
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This repository contains the promoted DFlash2 draft head
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[`Qwen/Qwen3.8-27B`](https://huggingface.co/Qwen/Qwen3.8-27B). It is not a
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The head descends from the public Qwen3.8-27B DFlash2 draft model. It was
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adapted with target-verified cycles from the incumbent legacy corpus and a
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---
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license: apache-2.0
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inference: false
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tags:
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- dflash2
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- draft-only
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- speculative-decoding
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- block-diffusion
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- draft-model
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- qwen3.8-27b-target
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- mlx
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---
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# DFlash2
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This repository contains the promoted DFlash2 draft head used with
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[`Qwen/Qwen3.8-27B`](https://huggingface.co/Qwen/Qwen3.8-27B). It is not a
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fine-tune of the full Qwen target and must not be loaded as a standalone
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language model. It has no tokenizer and no target weights: a compatible
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DFlash2 runtime loads this head alongside the Qwen verifier.
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The Hub base-model tree is intentionally omitted. A conventional
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"Qwen finetune" label would misrepresent the artifact: only the small
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speculative draft head is changed, while target-controlled output remains the
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authority.
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The head descends from the public Qwen3.8-27B DFlash2 draft model. It was
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adapted with target-verified cycles from the incumbent legacy corpus and a
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