---
library_name: transformers
tags:
- unsloth
- trl
- sft
- iMat
- GGUF
license: apache-2.0
datasets:
- bigdata-pw/the-x-files
base_model:
- rAIfle/Questionable-MN-bf16
base_model_relation: quantized
quantized_by: Quant-Cartel
---

```
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 d888 888b  8888 8888  ,"Y88b 888 8e   d88     
C8888 8888D 8888 8888 "8" 888 888 88b d88888   
 Y888 888P  Y888 888P ,ee 888 888 888  888     
  "88 88"    "88 88"  "88 888 888 888  888     
      b                                        
      8b,                                      
 
  e88'Y88                  d8           888    
 d888  'Y  ,"Y88b 888,8,  d88    ,e e,  888    
C8888     "8" 888 888 "  d88888 d88 88b 888    
 Y888  ,d ,ee 888 888     888   888   , 888    
  "88,d88 "88 888 888     888    "YeeP" 888    
                                               
PROUDLY PRESENTS         
```
# Mistral-Large-Instruct-2411-iMat-GGUF

Quantized from bf16 with love.

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)
* 92 chunks
* n_ctx=512
* iMat Calculation uses fp16 precision model weights

Original model README [here](https://huggingface.co/rAIfle/Questionable-MN-bf16) and below.

---
# Questionable-MN

My last attempt (for now) at beating up Nemo.
Done in several steps, but basically it's Nemo-Base, plus bigdata-pw/the-x-files, plus a small private set of RP data and a bit of c2 to finish it up. ChatML.

(Realized I forgot to make this one public, heh. Don't have the settings used for training this anymore, sorry. Anyway, it works. Use standard Nemo sampler settings and whatever sysprompt you feel good about, as usual.)