spiritfather/Gemma4-Gutenberg-26B-A4B-i1-GGUF

About

weighted/imatrix quants of https://huggingface.co/nbeerbower/Gemma4-Gutenberg-26B-A4B

Benchmarked on [CaliperBench](https://caliperbench.com) — a creative-writing benchmark scoring prose craft, roleplay and willingness rather than general intelligence. See this model's scores: caliperbench.com/m/gemma4-gutenberg-26b-a4b.

Note: Gemma4-Gutenberg-26B-A4B is published as a LoRA adapter, not a full model. These GGUFs are that adapter merged onto its base google/gemma-4-26B-A4B-it (the text LM extracted from the multimodal base), then quantized.

imatrix (importance matrix) computed over bartowski calibration_datav3. Weighted quants spend precision where it matters most — the low bit-rates (IQ1–IQ4) are meaningfully better than same-size static quants; at Q5/Q6 the difference is negligible.

Static (non-imatrix) quants of this model are at spiritfather/Gemma4-Gutenberg-26B-A4B-GGUF.

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Usage

If you are unsure how to use GGUF files, refer to one of TheBloke's READMEs for more details, including on how to concatenate multi-part files.

Provided Quants

(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)