base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags

base_model	datasets	language	library_name	license	mradermacher	quantized_by	tags
DavidAU/gemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-Thinking	TeichAI/glm-4.7-2000x	en	transformers	apache-2.0	readme_rev 1	mradermacher	uncensored heretic abliterated unsloth brainstorm 20x FUSED finetune All use cases bfloat16 creative creative writing fiction writing plot generation sub-plot generation fiction writing story generation scene continue storytelling fiction story science fiction romance all genres story writing vivid prosing vivid writing fiction

About

static quants of https://huggingface.co/DavidAU/gemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-Thinking

For a convenient overview and download list, visit our model page for this model.

weighted/imatrix quants are available at https://huggingface.co/mradermacher/gemma-3-16b-it-BIG-G-GLM4.7-Flash-Valhalla-Heretic-Uncensored-Deep-Thinking-i1-GGUF

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)

Link	Type	Size/GB	Notes
GGUF	mmproj-Q8_0	0.7	multi-modal supplement
GGUF	mmproj-f16	1.0	multi-modal supplement
GGUF	Q2_K	6.4
GGUF	Q3_K_S	7.4
GGUF	Q3_K_M	8.2	lower quality
GGUF	Q3_K_L	8.8
GGUF	IQ4_XS	9.0
GGUF	Q4_K_S	9.4	fast, recommended
GGUF	Q4_K_M	10.0	fast, recommended
GGUF	Q5_K_S	11.3
GGUF	Q5_K_M	11.6
GGUF	Q6_K	13.3	very good quality
GGUF	Q8_0	17.1	fast, best quality

Here is a handy graph by ikawrakow comparing some lower-quality quant types (lower is better):

And here are Artefact2's thoughts on the matter: https://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9

FAQ / Model Request

See https://huggingface.co/mradermacher/model_requests for some answers to questions you might have and/or if you want some other model quantized.

Thanks

I thank my company, nethype GmbH, for letting me use its servers and providing upgrades to my workstation to enable this work in my free time.