base_model: DavidAU/Qwen3-48B-A4B-Savant-Commander-Distill-12X-Closed-Open-Heretic-Uncensored
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - 256k context
- Qwen3
- Mixture of Experts
- MOE
- MOE Dense
- thinking
- reasoning
- GPT-5.1-High-Reasoning-Distill
- Gemini-3-Pro-Preview-High-Reasoning-Distill
- Claude-4.5-Opus-High-Reasoning-Distill
- Claude-Sonnet-4-Reasoning-Distill
- Kimi-K2-Thinking-Distill
- Gemini-2.5-Flash-Distill
- Gemini-2.5-Flash-Lite-Preview-Distill
- gpt-oss-120b-Distill
- GLM-Flash-4.6-Distill
- Open-R1-Distill
- Command-A-Reasoning-Distill
- 2 experts
- 4Bx12
- All use cases
- bfloat16
- heretic
- uncensored
- decensored
- abliterated
- merge
- 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
- not-for-all-audiences
About
static quants of https://huggingface.co/DavidAU/Qwen3-48B-A4B-Savant-Commander-Distill-12X-Closed-Open-Heretic-Uncensored
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-48B-A4B-Savant-Commander-Distill-12X-Closed-Open-Heretic-Uncensored-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 | Q2_K | 12.5 | |
| GGUF | Q3_K_S | 14.7 | |
| GGUF | Q3_K_M | 16.3 | lower quality |
| GGUF | Q3_K_L | 17.6 | |
| GGUF | IQ4_XS | 18.3 | |
| GGUF | Q4_K_S | 19.3 | fast, recommended |
| GGUF | Q4_K_M | 20.5 | fast, recommended |
| GGUF | Q5_K_S | 23.3 | |
| GGUF | Q5_K_M | 24.0 | |
| GGUF | Q6_K | 27.7 | very good quality |
| GGUF | Q8_0 | 35.8 | 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.