jkim96/gemma-4-31B-it-DASHQ-GGUF overview
DASH Q https://raw.githubusercontent.com/JaeminK/dashq/main/assets/dashq banner.png gemma 4 31B it DASH Q 2 bit GGUF A llama.cpp GGUF of google/gemma 4 31B it …
Runs locally from ~11.16 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).
Repository Files & Downloads
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| gemma-4-31B-it-DASHQ-Q2_K_XL.gguf | GGUF | Q2_K_XL | 11.16 GB | Download |
Model Details
| Model ID | jkim96/gemma-4-31B-it-DASHQ-GGUF |
|---|---|
| Author | jkim96 |
| Pipeline | text-generation |
| License | apache-2.0 |
| Base model | google/gemma-4-31B-it |
| Last modified | 2026-10-02T06:49:39.000Z |
Model README
---
license: apache-2.0
base_model: google/gemma-4-31B-it
base_model_relation: quantized
library_name: gguf
pipeline_tag: text-generation
tags:
- gguf
- llama.cpp
- dashq
- quantized
---
gemma-4-31B-it - DASH-Q 2-bit GGUF
A llama.cpp GGUF of google/gemma-4-31B-it 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 |
| --- | --- |
| gemma-4-31B-it-DASHQ-Q2_K_XL.gguf | 11.98 GB |
Text only: the vision tower is not included.
Quality vs. F16 (KL divergence)
Raw-text perplexity is not a meaningful metric for gemma-4-it (the F16 model itself scores in the thousands on WikiText-2 while generating normally),
so quality is reported as KL divergence of the next-token distribution to F16 (llama-perplexity --kl-divergence, WikiText-2, 4 x 2048 tokens):
| Model | Size | Mean KLD | Median KLD | Top-1 token agreement |
| --- | --- | --- | --- | --- |
| llama.cpp Q2_K (imatrix) | 11.92 GB | 3.04 | 1.96 | 44.4% |
| DASH-Q (this file) | 11.98 GB | 1.38 | 0.32 | 65.8% |
Usage
llama-cli -m gemma-4-31B-it-DASHQ-Q2_K_XL.gguf -ngl 99 -c 8192
License
Inherits the license of the base model (google/gemma-4-31B-it).
Run jkim96/gemma-4-31B-it-DASHQ-GGUF with guIDE
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