base_model: DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-II-12B
datasets:
- DavidAU/TNG-ALL
- DavidAU/PKD-all
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- programming
- code generation
- code
- coding
- coder
- chat
- code
- chat
- brainstorm
- qwen
- qwen3
- qwencoder
- brainstorm 20x
- creative
- all uses cases
- Jan-V1
- horror
- science fiction
- fantasy
- Star Trek
- The Next Generation
- TNG
- Philip K. Dick
- Deckard
- finetune
- thinking
- reasoning
- unsloth
- moe
- mixture of experts
- merge
About
weighted/imatrix quants of https://huggingface.co/DavidAU/Qwen3-2x6B-TNG-Deckard-Alpha-II-12B
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Qwen3-2x6B-TNG-Deckard-Alpha-II-12B-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 qwuants) |
| GGUF | i1-IQ1_S | 2.4 | for the desperate |
| GGUF | i1-IQ1_M | 2.6 | mostly desperate |
| GGUF | i1-IQ2_XXS | 2.9 | |
| GGUF | i1-IQ2_XS | 3.2 | |
| GGUF | i1-IQ2_S | 3.3 | |
| GGUF | i1-IQ2_M | 3.6 | |
| GGUF | i1-Q2_K_S | 3.7 | very low quality |
| GGUF | i1-Q2_K | 4.0 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 4.1 | lower quality |
| GGUF | i1-IQ3_XS | 4.4 | |
| GGUF | i1-Q3_K_S | 4.6 | IQ3_XS probably better |
| GGUF | i1-IQ3_S | 4.6 | beats Q3_K* |
| GGUF | i1-IQ3_M | 4.7 | |
| GGUF | i1-Q3_K_M | 5.1 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 5.5 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 5.6 | |
| GGUF | i1-IQ4_NL | 5.9 | prefer IQ4_XS |
| GGUF | i1-Q4_0 | 5.9 | fast, low quality |
| GGUF | i1-Q4_K_S | 5.9 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 6.2 | fast, recommended |
| GGUF | i1-Q4_1 | 6.5 | |
| GGUF | i1-Q5_K_S | 7.1 | |
| GGUF | i1-Q5_K_M | 7.3 | |
| GGUF | i1-Q6_K | 8.4 | practically like static Q6_K |
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.