base_model: DavidAU/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER
language:
- en
- fr
- zh
- de
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - programming
- code generation
- code
- codeqwen
- programming
- code generation
- code
- codeqwen
- moe
- coding
- coder
- qwen2
- chat
- qwen
- qwen-coder
- chat
- qwen
- qwen-coder
- moe
- Qwen3-30B-A3B-Thinking-2507
- Qwen3-30B-A3B
- mixture of experts
- 128 experts
- 8 active experts
- 256k context
- qwen3
- finetune
- brainstorm 20x
- brainstorm
- thinking
- reasoning
- uncensored
- abliterated
- qwen3_moe
About
static quants of https://huggingface.co/DavidAU/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/Qwen3-42B-A3B-2507-Thinking-Abliterated-uncensored-TOTAL-RECALL-v2-Medium-MASTER-CODER-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 | 15.7 | |
| GGUF | Q3_K_S | 18.5 | |
| GGUF | Q3_K_M | 20.5 | lower quality |
| GGUF | Q3_K_L | 22.1 | |
| GGUF | IQ4_XS | 23.0 | |
| GGUF | Q4_K_S | 24.3 | fast, recommended |
| GGUF | Q4_K_M | 25.8 | fast, recommended |
| GGUF | Q5_K_S | 29.3 | |
| GGUF | Q5_K_M | 30.2 | |
| GGUF | Q6_K | 34.9 | very good quality |
| GGUF | Q8_0 | 45.2 | 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.