About
static quants of https://huggingface.co/nbeerbower/Gemma4-Gutenberg-26B-A4B
Benchmarked on CaliperBench — 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.
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)