Acolyte-22B / README.md
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---
base_model:
- unsloth/Mistral-Small-Instruct-2409
- unsloth/Mistral-Small-Instruct-2409
- rAIfle/Acolyte-LORA
library_name: transformers
tags:
- mergekit
- merge
---
# Acolyte-22B
![image/png](https://cdn-uploads.huggingface.co/production/uploads/6569a4ed2419be6072890cf8/3dcGMcrWK2-2vQh9QBt3o.png)
LoRA of a bunch of random datasets on top of Mistral-Small-Instruct-2409, then SLERPed onto base at 0.5. Decent enough for its size.
Check the [LoRA](https://huggingface.co/rAIfle/Acolyte-LORA) for dataset info.
Use `Mistral V2 & V3` template.
## Quants
- [iMat GGUFs](https://huggingface.co/Quant-Cartel/Acolyte-22B-iMat-GGUF)
- [exl2 longcals](https://huggingface.co/Quant-Cartel/Acolyte-22B-exl2-longcal)