base_model: Disya/L3-MOE-16x1B-RP-Abliterated-Test-bad-quality
language:
- en
library_name: transformers
license: llama3.2
quantized_by: mradermacher
tags: - not-for-all-audiences
- uncensored
- writer
- story
- moe
- mixture of experts
- llama
- mergekit
- rp
- roleplay
About
static quants of https://huggingface.co/Disya/L3-MOE-16x1B-RP-Abliterated-Test-bad-quality
weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
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 | 5.1 | |
| GGUF | Q3_K_S | 6.0 | |
| GGUF | Q3_K_M | 6.7 | lower quality |
| GGUF | Q3_K_L | 7.2 | |
| GGUF | IQ4_XS | 7.5 | |
| GGUF | Q4_K_S | 7.9 | fast, recommended |
| GGUF | Q4_K_M | 8.4 | fast, recommended |
| GGUF | Q5_K_S | 9.5 | |
| GGUF | Q5_K_M | 9.8 | |
| GGUF | Q6_K | 11.2 | very good quality |
| GGUF | Q8_0 | 14.5 | 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.