---

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

---

!DASH-Q

gemma-4-31B-it - DASH-Q 2-bit GGUF

llama.cpp GGUF files of google/gemma-4-31B-it quantized with

DASH-Q, at several 2-bit-class sizes. Every file uses only standard

llama.cpp tensor types (no tensor above 4 bits) and loads in any recent llama.cpp build.

| File | Type | Size | Bits / weight |

| --- | --- | --- | --- |

| gemma-4-31B-it-DASHQ-IQ2_XXS.gguf | IQ2_XXS | 8.82 GB | 2.30 |

| gemma-4-31B-it-DASHQ-IQ2_XS.gguf | IQ2_XS | 10.03 GB | 2.61 |

| gemma-4-31B-it-DASHQ-IQ2_M.gguf | IQ2_M | 11.08 GB | 2.89 |

| gemma-4-31B-it-DASHQ-Q2_K_XL.gguf | Q2_K_XL | 11.98 GB | 3.12 |

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):

| Type | Model | Size | Mean KLD | Median KLD | Top-1 token agreement |

| --- | --- | --- | --- | --- | --- |

| IQ2_XXS | llama.cpp IQ2_XXS (imatrix) | 8.66 GB | 5.49 | 4.36 | 25.8% |

| IQ2_XXS | unsloth UD-IQ2_XXS | 8.53 GB | 4.92 | 3.73 | 29.4% |

| IQ2_XXS | DASH-Q IQ2_XXS | 8.82 GB | 3.66 | 2.02 | 41.5% |

| IQ2_XS | llama.cpp IQ2_XS (imatrix) | 9.51 GB | 4.88 | 3.64 | 29.5% |

| IQ2_XS | DASH-Q IQ2_XS | 10.03 GB | 2.53 | 1.18 | 51.9% |

| IQ2_M | llama.cpp IQ2_M (imatrix) | 10.90 GB | 3.38 | 2.25 | 39.4% |

| IQ2_M | unsloth UD-IQ2_M | 10.75 GB | 2.18 | 0.90 | 55.5% |

| IQ2_M | DASH-Q IQ2_M | 11.08 GB | 1.41 | 0.37 | 63.8% |

| Q2_K_XL | llama.cpp Q2_K (imatrix) | 11.92 GB | 3.04 | 1.96 | 44.4% |

| Q2_K_XL | DASH-Q (this file) | 11.98 GB | 1.38 | 0.32 | 65.8% |

Usage

llama-cli -m gemma-4-31B-it-DASHQ-IQ2_M.gguf -ngl 99 -c 8192

License

Inherits the license of the base model (google/gemma-4-31B-it).