VOOZH about

URL: https://huggingface.co/Quant-Cartel/Questionable-MN-12B-iMat-GGUF

⇱ Quant-Cartel/Questionable-MN-12B-iMat-GGUF · Hugging Face


 e88 88e d8 
 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

  • Importance Matrix calculated using groups_merged.txt
  • 92 chunks
  • n_ctx=512
  • iMat Calculation uses fp16 precision model weights

Original model README here 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.)

Downloads last month
26
GGUF
Model size
12B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Model tree for Quant-Cartel/Questionable-MN-12B-iMat-GGUF

Quantized
(3)
this model