base_model:
- K00B404/Merged_Beowolx-CodePro_Medusa2-14X-7B-Mistral-I-v0-2
- Nexusflow/Starling-LM-7B-beta
- beowolx/CodeNinja-1.0-OpenChat-7B
exported_from: K00B404/BagOMistral_14X_Coders-ties-7B
language:
- en
library_name: transformers
quantized_by: mradermacher
tags:
- mergekit
- merge
About
static quants of https://huggingface.co/K00B404/BagOMistral_14X_Coders-ties-7B
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 | Q8_0 | 7.8 | 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
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.