Files
Qwen3-32B-VL-GLM-4.7-Flash-…/README.md
ModelHub XC 234af217c2 初始化项目,由ModelHub XC社区提供模型
Model: mradermacher/Qwen3-32B-VL-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-i1-GGUF
Source: Original Platform
2026-07-20 12:17:10 +08:00

8.4 KiB

base_model, datasets, language, library_name, license, mradermacher, quantized_by, tags
base_model datasets language library_name license mradermacher quantized_by tags
DavidAU/Qwen3-32B-VL-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking
TeichAI/glm-4.7-2000x
en
zh
transformers apache-2.0
readme_rev
1
mradermacher
GLM 4.7 Flash distill
unsloth
thinking
reasoning
heretic
uncensored
abliterated
thinking
reasoning
deep reasoning
fine tune
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
roleplaying
bfloat16
swearing
rp
horror
r rated
x rated
all use cases

About

weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-32B-VL-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking

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

static quants are available at https://huggingface.co/mradermacher/Qwen3-32B-VL-GLM-4.7-Flash-HI16-Heretic-Uncensored-Thinking-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 imatrix 0.1 imatrix file (for creating your own quants)
GGUF i1-IQ1_S 7.4 for the desperate
GGUF i1-IQ1_M 8.1 mostly desperate
GGUF i1-IQ2_XXS 9.1
GGUF i1-IQ2_XS 10.1
GGUF i1-IQ2_S 10.6
GGUF i1-IQ2_M 11.5
GGUF i1-Q2_K_S 11.6 very low quality
GGUF i1-Q2_K 12.4 IQ3_XXS probably better
GGUF i1-IQ3_XXS 12.9 lower quality
GGUF i1-IQ3_XS 13.8
GGUF i1-Q3_K_S 14.5 IQ3_XS probably better
GGUF i1-IQ3_S 14.5 beats Q3_K*
GGUF i1-IQ3_M 15.0
GGUF i1-Q3_K_M 16.1 IQ3_S probably better
GGUF i1-Q3_K_L 17.4 IQ3_M probably better
GGUF i1-IQ4_XS 17.8
GGUF i1-Q4_0 18.8 fast, low quality
GGUF i1-Q4_K_S 18.9 optimal size/speed/quality
GGUF i1-Q4_K_M 19.9 fast, recommended
GGUF i1-Q4_1 20.7
GGUF i1-Q5_K_S 22.7
GGUF i1-Q5_K_M 23.3
GGUF i1-Q6_K 27.0 practically like static Q6_K

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

image.png

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. Additional thanks to @nicoboss for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.