base_model: DavidAU/L3.1-MOE-8X8B-Dark-Planet-8D-Mirrored-Chaos-Uncensored-47B
language:
- en
library_name: transformers
mradermacher:
readme_rev: 1
quantized_by: mradermacher
tags: - mergekit
- moe
- mixture of experts
- merge
- llama 3.1
- llama-3
- llama3
- llama-3.1
About
static quants of https://huggingface.co/DavidAU/L3.1-MOE-8X8B-Dark-Planet-8D-Mirrored-Chaos-Uncensored-47B
For a convenient overview and download list, visit our model page for this model.
weighted/imatrix quants are available at https://huggingface.co/mradermacher/L3.1-MOE-8X8B-Dark-Planet-8D-Mirrored-Chaos-Uncensored-47B-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 | 17.9 | |
| GGUF | Q3_K_S | 21.0 | |
| GGUF | Q3_K_M | 23.1 | lower quality |
| GGUF | Q3_K_L | 24.8 | |
| GGUF | IQ4_XS | 26.0 | |
| GGUF | Q4_K_S | 27.4 | fast, recommended |
| GGUF | Q4_K_M | 29.1 | fast, recommended |
| GGUF | Q5_K_S | 32.9 | |
| GGUF | Q5_K_M | 33.9 | |
| GGUF | Q6_K | 39.1 | very good quality |
| PART 1 PART 2 | Q8_0 | 50.6 | 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.