|
--- |
|
base_model: mistralai/Mixtral-8x7B-v0.1 |
|
datasets: |
|
- Himitsui/Lewd-Assistant-v1 |
|
language: |
|
- en |
|
library_name: transformers |
|
license: cc-by-nc-4.0 |
|
quantized_by: mradermacher |
|
--- |
|
## About |
|
|
|
weighted/imatrix quants of https://huggingface.co/Sao10K/Solstice-Mixtral-v1 |
|
|
|
|
|
<!-- provided-files --> |
|
static quants are available at https://huggingface.co/mradermacher/Solstice-Mixtral-v1-GGUF |
|
## Usage |
|
|
|
If you are unsure how to use GGUF files, refer to one of [TheBloke's |
|
READMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) 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](https://huggingface.co/mradermacher/Solstice-Mixtral-v1-i1-GGUF/resolve/main/Solstice-Mixtral-v1.i1-Q2_K.gguf) | i1-Q2_K | 17.6 | IQ3_XXS probably better | |
|
|
|
|
|
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](https://www.nethype.de/), for letting |
|
me use its servers and providing upgrades to my workstation to enable |
|
this work in my free time. |
|
|
|
<!-- end --> |
|
|
