---
license: cc-by-nc-4.0
base_model_relation: quantized
quantized_by: Quant-Cartel
base_model: Envoid/Mistral-Small-NovusKyver
pipeline_tag: text-generation
tags:
- not-for-all-audiences
- iMat
- GGUF
---
```
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 Y888 888P  Y888 888P ,ee 888 888 888  888     
  "88 88"    "88 88"  "88 888 888 888  888     
      b                                        
      8b,                                      
 
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 Y888  ,d ,ee 888 888     888   888   , 888    
  "88,d88 "88 888 888     888    "YeeP" 888    
                                               
PROUDLY PRESENTS         
```
# Mistral-Small-NovusKyver-iMat-GGUF

>[!TIP]
> <b>Quantization Note:</b> For smaller sizes (i.e. Q3/IQ3 and below) a repetition penalty of 1.05-1.15 is recommended. 

Quantized with love from fp32.

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

* 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/Envoid/Mistral-Small-NovusKyver/) and below:

# Warning this model can be a bit unpredictable regarding adult content.
![](https://files.catbox.moe/8i08ss.jpg)

Mistral-Small-NovusKyver started out as [mistralai/Mistral-Small-Instruct-2409](https://huggingface.co/mistralai/Mistral-Small-Instruct-2409)

I ran a fairly strong LoRA on it using a private raw-text dataset. The results were 'overcooked' so I did a 50/50 SLERP merge back onto the original model and this is the result of that merge.

### Use Cases:

The output is definitely more interesting. As an assistant with a system message such as "You will provide the user with interesting and thought provoking responses." 

It also has interesting output in some RP scenarios with the following caveats:

-Any mention of consent or NSFW in the prompt will cause it to run away with producing adult content.

-It tends to run away with its turn when using a highly structured prompt while giving short, boring responses, with a relatively minimalist prompt. 

-Creative writing by instruct. 

It utilises the Mistral Instruct prompt format.