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mengshengwu/Qwen3.5-4B-DFlash-Q4_0-GGUF
Qwen3.5-4B-DFlash-Q4_0-GGUF is a machine learning model from mengshengwu. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Q40 GGUF conversion of z-lab/Qwen3.5-4B-DFlash (DFlash v1 draft model), paired with a Q40 GGUF of the Qwen/Qwen3.5-4B base/target model.
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.gguf3.1 GB · 100%
From the Hugging Face model README
Q4_0 GGUF conversion of z-lab/Qwen3.5-4B-DFlash (DFlash v1 draft model), paired with a Q4_0 GGUF of the Qwen/Qwen3.5-4B base/target model.
Converted with llama.cpp's convert_hf_to_gguf.py (DFlashDraftModel → MODEL_ARCH.DFLASH), then quantized with llama-quantize.
| File | Role |
|---|---|
Qwen3.5-4B-Q4_0.gguf | base / target model |
dflash-Qwen3.5-4B-Q4_0.gguf | DFlash draft model |
Naming follows the same <prefix>-<base model>.gguf convention llama.cpp MTP sidecars use (e.g. mtp-<model>.gguf), so tooling that expects a draft file next to its base can find it by pattern.
llama-server -m Qwen3.5-4B-Q4_0.gguf -md dflash-Qwen3.5-4B-Q4_0.gguf --spec-type draft-dflash
dflash.block_size is set, dflash.selector_top_k is absent. DFlash2 (which adds a selector_top_k candidate-path selector) needs a different checkpoint, e.g. z-lab/Qwen3.8-27B-DFlash2.