Model Intelligence Sheet
magnitudedev/Qwen3.5-9B-DFlash-GGUF overview
Qwen3.5 9B DFlash GGUF Q8 0 GGUF conversion of z lab/Qwen3.5 9B DFlash https://huggingface.co/z lab/Qwen3.5 9B DFlash for use with Magnitude https://github.com…
Runs locally from ~1.29 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
1 GGUF files detected
Direct downloads for local inference
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.5-9B-DFlash-Q8_0.gguf | GGUF | Q8_0 | 1.29 GB | Download |
Model Details
| Model ID | magnitudedev/Qwen3.5-9B-DFlash-GGUF |
|---|---|
| Author | magnitudedev |
| Pipeline | — |
| License | apache-2.0 |
| Base model | z-lab/Qwen3.5-9B-DFlash |
| Last modified | 2026-10-07T12:35:37.000Z |
Model README
---
base_model:
- z-lab/Qwen3.5-9B-DFlash
license: apache-2.0
library_name: llama.cpp
tags:
- gguf
- dflash
- speculative-decoding
- magnitude
---
Qwen3.5-9B-DFlash GGUF
Q8_0 GGUF conversion of
for use with Magnitude.
This is a DFlash draft model for speculative decoding with
Qwen/Qwen3.5-9B; the tokenizer metadata comes from that target.
Converted with
at revision 43fe9c64281ef735046adc025e9e7559a1f659a5.
Artifact
- File:
Qwen3.5-9B-DFlash-Q8_0.gguf - Quantization:
Q8_0 - SHA-256:
42db4d8605d410989b418c051d09afdc2f68e89ab02272ae4c90c7f36fe64ca0 - Source revision:
5fc3b3d474760f18c516db87d84c37edbfd3ede6
Draft metadata
dflash.attention.causal = [true, true, true, true, true, false]: the first five layers use causal attention; the last uses bidirectional attention.dflash.sample_from_anchor = false: proposals come from mask rows, starting after the anchor.- Derived from the checkpoint configuration and Z-Lab’s reference implementation; verified against reference outputs.
Run magnitudedev/Qwen3.5-9B-DFlash-GGUF with guIDE
Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.
Source: Hugging Face · Compare models