---
license: cc-by-nc-4.0
base_model_relation: quantized
quantized_by: Quant-Cartel
base_model: rAIfle/Acolyte-22B
pipeline_tag: text-generation
tags:
- iMat
- GGUF
---
```
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 Y888 888P  Y888 888P ,ee 888 888 888  888     
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      b                                        
      8b,                                      
 
  e88'Y88                  d8           888    
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 Y888  ,d ,ee 888 888     888   888   , 888    
  "88,d88 "88 888 888     888    "YeeP" 888    
                                               
PROUDLY PRESENTS         
```
# Acolyte-22B-iMat-GGUF

Quantized with love from fp32.

Original model author: [rAIfle](https://huggingface.co/rAIfle/)

* Importance Matrix calculated using [groups_merged.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384)
*  105 chunks
*  n_ctx=512
*  Calculation uses fp32 precision model weights

Original model README [here](https://huggingface.co/rAIfle/Acolyte-22B/) and below:

# 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.