base_model: DavidAU/Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-Uncensored
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - looping-transformer
- experimental
- qwen3_8
- abliterated
- ara
- heretic
- uncensored
- heretic
- qwen3_8
- qwen3_6
- uncensored
- heretic
- abliterated
- finetune
- Cold Fusion
- GAIN Training
- Multi-stage tuning
- all use cases
- unsloth
- 27 reasoning modes
- 27 instruct modes
- 15 AI Constructs
- 5 Super AI Constructs
- Brainstorm AI Construct
- Brainstorm Business AI Construct
- Universal Teacher AI Construct
- Agent AI Construct
- Coder AI Construct
- Turbo-Brilliance
- 9 Xhigh reasoning modes
- unsloth
- fine tune
- multi-stage tuned
- thinking
- reasoning
- all use cases
- coder
- creative
- creative writing
- all genres
- story
- writing
- fiction
- roleplaying
- bfloat16
- all use cases
About
static quants of https://huggingface.co/DavidAU/Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-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/Qwen3.8-31B-Looping-Transformer-Ablit-Heretic-ARA-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 | mmproj-Q8_0 | 0.7 | multi-modal supplement |
| GGUF | mmproj-f16 | 1.0 | multi-modal supplement |
| GGUF | Q2_K | 12.1 | |
| GGUF | Q3_K_S | 13.7 | |
| GGUF | Q3_K_M | 15.1 | lower quality |
| GGUF | Q3_K_L | 16.3 | |
| GGUF | IQ4_XS | 17.2 | |
| GGUF | Q4_K_S | 17.7 | fast, recommended |
| GGUF | Q4_K_M | 18.7 | fast, recommended |
| GGUF | Q5_K_S | 21.2 | |
| GGUF | Q5_K_M | 21.8 | |
| GGUF | Q6_K | 25.0 | very good quality |
| GGUF | Q8_0 | 32.4 | 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. 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.