base_model: DavidAU/Qwen3-22B-A3B-The-Harley-Quinn-PUDDIN-Abliterated-Uncensored
language:
- en
- fr
- zh
- de
library_name: transformers
license: apache-2.0
quantized_by: mradermacher
tags:
- 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 prose
- vivid writing
- moe
- mixture of experts
- 64 experts
- 8 active experts
- fiction
- roleplaying
- bfloat16
- rp
- qwen3
- horror
- finetune
- thinking
- reasoning
- qwen3_moe
- merge
- uncensored
- abliterated
- not-for-all-audiences
About
static quants of https://huggingface.co/DavidAU/Qwen3-22B-A3B-The-Harley-Quinn-PUDDIN-Abliterated-Uncensored
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-22B-A3B-The-Harley-Quinn-PUDDIN-Abliterated-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 | 8.3 | |
| GGUF | Q3_K_S | 9.8 | |
| GGUF | Q3_K_M | 10.8 | lower quality |
| GGUF | Q3_K_L | 11.7 | |
| GGUF | IQ4_XS | 12.1 | |
| GGUF | Q4_K_S | 12.8 | fast, recommended |
| GGUF | Q4_K_M | 13.5 | fast, recommended |
| GGUF | Q5_K_S | 15.4 | |
| GGUF | Q5_K_M | 15.8 | |
| GGUF | Q6_K | 18.3 | very good quality |
| GGUF | Q8_0 | 23.6 | 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.