exported_from: NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
language:
- en
library_name: transformers
license: cc-by-nc-4.0
quantized_by: mradermacher
About
weighted/imatrix quants of https://huggingface.co/NeverSleep/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss
static quants are available at https://huggingface.co/mradermacher/Noromaid-v0.4-Mixtral-Instruct-8x7b-Zloss-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 | i1-IQ2_XXS | 13.1 | |
| GGUF | i1-IQ2_M | 16.0 | |
| GGUF | i1-Q2_K | 17.8 | IQ3_XXS probably better |
| GGUF | i1-IQ3_XXS | 18.8 | lower quality |
| GGUF | i1-IQ3_XS | 19.8 | |
| GGUF | i1-IQ3_S | 20.9 | beats Q3_K* |
| GGUF | i1-Q3_K_S | 20.9 | IQ3_XS probably better |
| GGUF | i1-IQ3_M | 21.9 | |
| GGUF | i1-Q3_K_M | 23.1 | IQ3_S probably better |
| GGUF | i1-Q3_K_L | 24.7 | IQ3_M probably better |
| GGUF | i1-IQ4_XS | 25.6 | |
| GGUF | i1-Q4_K_S | 27.3 | optimal size/speed/quality |
| GGUF | i1-Q4_K_M | 29.0 | fast, recommended |
| GGUF | i1-Q5_K_S | 32.7 | |
| GGUF | i1-Q5_K_M | 33.7 | |
| GGUF | i1-Q6_K | 38.9 | 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
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.