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---
base_model:
- LeroyDyer/Mixtral_AI_Cyber_3.m1
- LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
- LeroyDyer/Mixtral_AI_Cyber_2.0
- LeroyDyer/Mixtral_AI_Cyber_1.0
- LeroyDyer/Mixtral_AI_Cyber_3.m2
- LeroyDyer/Mixtral_AI_Cyber_3.0
exported_from: LeroyDyer/Mixtral_AI_Cyber_4.0
language:
- en
library_name: transformers
license: mit
quantized_by: mradermacher
tags:
- biology
- chemistry
- medical
---
## About
static quants of https://huggingface.co/LeroyDyer/Mixtral_AI_Cyber_4.0
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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](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/Mixtral_AI_Cyber_4.0-GGUF/resolve/main/Mixtral_AI_Cyber_4.0.Q4_K_S.gguf) | Q4_K_S | 4.4 | fast, recommended |
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.
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