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jkim96/gemma-4-26B-A4B-it-DASHQ-Q2-GGUF overview

DASH Q https://raw.githubusercontent.com/JaeminK/dashq/main/assets/dashq banner.png gemma 4 26B A4B it DASH Q 2 bit GGUF llama.cpp GGUF files of google/gemma 4…

ggufllama.cppdashqquantizedtext-generationbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itlicense:apache-2.0endpoints_compatibleregion:usimatrixconversational

Runs locally from ~9.40 GB disk (12 GB VRAM class GPUs with llama.cpp / guIDE).

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Pipeline
text-generation
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Repository Files & Downloads

4 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
gemma-4-26B-A4B-it-DASHQ-IQ2_M.ggufGGUFIQ2_M10.35 GBDownload
gemma-4-26B-A4B-it-DASHQ-IQ2_XS.ggufGGUFIQ2_XS9.88 GBDownload
gemma-4-26B-A4B-it-DASHQ-IQ2_XXS.ggufGGUFIQ2_XXS9.40 GBDownload
gemma-4-26B-A4B-it-DASHQ-Q2_K_XL.ggufGGUFQ2_K_XL10.50 GBDownload

Model Details

Model IDjkim96/gemma-4-26B-A4B-it-DASHQ-Q2-GGUF
Authorjkim96
Pipelinetext-generation
Licenseapache-2.0
Base modelgoogle/gemma-4-26B-A4B-it
Last modified2026-10-02T23:38:33.000Z

Model README

---

license: apache-2.0

base_model: google/gemma-4-26B-A4B-it

base_model_relation: quantized

library_name: gguf

pipeline_tag: text-generation

tags:

  • gguf
  • llama.cpp
  • dashq
  • quantized

---

!DASH-Q

gemma-4-26B-A4B-it - DASH-Q 2-bit GGUF

llama.cpp GGUF files of google/gemma-4-26B-A4B-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-4-26B-A4B-it-DASHQ-IQ2_XXS.gguf | IQ2_XXS | 10.10 GB | 3.20 |

| gemma-4-26B-A4B-it-DASHQ-IQ2_XS.gguf | IQ2_XS | 10.60 GB | 3.36 |

| gemma-4-26B-A4B-it-DASHQ-IQ2_M.gguf | IQ2_M | 11.11 GB | 3.52 |

| gemma-4-26B-A4B-it-DASHQ-Q2_K_XL.gguf | Q2_K_XL | 11.27 GB | 3.57 |

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) | 9.28 GB | 6.34 | 5.29 | 24.1% |

| IQ2_XXS | unsloth UD-IQ2_XXS | 9.92 GB | 2.27 | 1.02 | 50.8% |

| IQ2_XXS | DASH-Q IQ2_XXS | 10.10 GB | 2.25 | 1.01 | 51.5% |

| IQ2_XS | llama.cpp IQ2_XS (imatrix) | 9.80 GB | 4.91 | 3.92 | 30.4% |

| IQ2_XS | DASH-Q IQ2_XS | 10.60 GB | 2.16 | 0.87 | 52.1% |

| IQ2_M | llama.cpp IQ2_M (imatrix) | 10.36 GB | 3.79 | 2.96 | 33.3% |

| IQ2_M | unsloth UD-IQ2_M | 10.01 GB | 2.28 | 1.02 | 51.1% |

| IQ2_M | DASH-Q IQ2_M | 11.11 GB | 1.85 | 0.72 | 55.2% |

| Q2_K_XL | llama.cpp Q2_K (imatrix) | 10.58 GB | 5.25 | 4.48 | 28.0% |

| Q2_K_XL | DASH-Q (this file) | 11.27 GB | 1.83 | 0.75 | 54.6% |

Usage

llama-cli -m gemma-4-26B-A4B-it-DASHQ-IQ2_M.gguf -ngl 99 -c 8192

License

Inherits the license of the base model (google/gemma-4-26B-A4B-it).

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