base_model: >-
DavidAU/Llama-3.2-8X3B-GATED-MOE-Reasoning-Dark-Champion-Instruct-uncensored-abliterated-18.4B
language:
- en
library_name: transformers
license: apache-2.0
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags:
- reasoning
- thinking
- uncensored
- gated
- mixture of experts
- moe
- 8x3B
- Llama 3.2 MOE
- 128k context
- 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
- roleplaying
- float32
- swearing
- rp
- horror
- mergekit
- llama-3
- llama-3.2
About
weighted/imatrix quants of https://huggingface.co/DavidAU/Llama-3.2-8X3B-GATED-MOE-Reasoning-Dark-Champion-Instruct-uncensored-abliterated-18.4B
For a convenient overview and download list, visit our model page for this model.
static quants are available at https://huggingface.co/mradermacher/Llama-3.2-8X3B-GATED-MOE-Reasoning-Dark-Champion-Instruct-uncensored-abliterated-18.4B-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 | 4.2 | for the desperate |
| GGUF | i1-IQ1_M | 4.6 | mostly desperate |
| GGUF | i1-IQ2_XXS | 5.3 | |
| GGUF | i1-IQ2_XS | 5.8 | |
| GGUF | i1-IQ2_S | 5.9 | |
| GGUF | i1-IQ2_M | 6.4 | |
| GGUF | i1-Q2_K_S | 6.6 | very low quality |
| GGUF | i1-Q2_K | 7.1 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 7.5 | lower quality |
| GGUF | i1-IQ3_XS | 7.9 | |
| GGUF | i1-IQ3_S | 8.4 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 8.4 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 8.7 | |
| GGUF | i1-Q3_K_M | 9.1 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 9.7 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 10.1 | |
| GGUF | i1-IQ4_NL | 10.7 | prefer IQ4_XS |
| GGUF | i1-Q4_0 | 10.7 | fast, low quality |
| GGUF | i1-Q4_K_S | 10.8 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 11.4 | fast, recommended |
| GGUF | i1-Q4_1 | 11.8 | |
| GGUF | i1-Q5_K_S | 12.9 | |
| GGUF | i1-Q5_K_M | 13.3 | |
| GGUF | i1-Q6_K | 15.3 | 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.