jkim96/Qwen3.5-9B-DASHQ-GGUF overview
DASH Q https://raw.githubusercontent.com/JaeminK/dashq/main/assets/dashq banner.png Qwen3.5 9B DASH Q 2 bit GGUF A llama.cpp GGUF of Qwen/Qwen3.5 9B https://hu…
Runs locally from ~3.66 GB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Qwen3.5-9B-DASHQ-Q2_K_XL.gguf | GGUF | Q2_K_XL | 3.66 GB | Download |
Model Details
| Model ID | jkim96/Qwen3.5-9B-DASHQ-GGUF |
|---|---|
| Author | jkim96 |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | Qwen/Qwen3.5-9B |
| Last modified | 2026-10-02T06:21:08.000Z |
Model README
---
license: apache-2.0
base_model: Qwen/Qwen3.5-9B
base_model_relation: quantized
library_name: gguf
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- dashq
- quantized
---
Qwen3.5-9B - DASH-Q 2-bit GGUF
A llama.cpp GGUF of Qwen/Qwen3.5-9B quantized with
DASH-Q. It is a standard Q2_K-class mixed-precision file
(Q2_K / Q3_K / Q4_K tensors, about 3 bits per weight) and loads in any recent llama.cpp build.
| File | Size |
| --- | --- |
| Qwen3.5-9B-DASHQ-Q2_K_XL.gguf | 3.93 GB |
Text only: the vision tower is not included.
Perplexity (lower is better)
| Model | Size | WikiText-2 | C4 |
| --- | --- | --- | --- |
| F16 | 18.4 GB | 7.07 | 11.17 |
| llama.cpp Q2_K (imatrix) | 3.91 GB | 8.06 | 13.10 |
| unsloth UD-Q2_K_XL | 4.12 GB | 8.18 | 12.52 |
| DASH-Q (this file) | 3.93 GB | 7.68 | 12.28 |
llama-perplexity, context 2048; WikiText-2 test, C4 validation (256 x 2048 tokens).
Zero-shot accuracy (lm-eval-harness, 0-shot)
| arc_easy | arc_challenge | piqa | hellaswag | winogrande | openbookqa | commonsense_qa | truthfulqa_mc2 | lambada_openai | avg |
| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
| 79.0 | 55.9 | 79.4 | 73.9 | 70.9 | 43.0 | 78.8 | 48.9 | 69.6 | 66.60 |
Usage
llama-cli -m Qwen3.5-9B-DASHQ-Q2_K_XL.gguf -ngl 99 -c 8192
License
Inherits the license of the base model (Qwen/Qwen3.5-9B).
Run jkim96/Qwen3.5-9B-DASHQ-GGUF with guIDE
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Source: Hugging Face · Compare models