QuantFactory Banner

QuantFactory/Stellar-Odyssey-12b-v0.0-GGUF

This is quantized version of ProdeusUnity/Stellar-Odyssey-12b-v0.0 created using llama.cpp

Original Model Card

Stellar Odyssey 12b v0.0

We will see... Come with me, take the journey~

Listen to the song on Youtube: https://www.youtube.com/watch?v=3FEFtFMBREA

Soo... after I failed the first time, I took a crack at merging again. This time, these models were used

mistralai/Mistral-Nemo-Base-2407 Sao10K/MN-12B-Lyra-v4 nothingiisreal/MN-12B-Starcannon-v2 Gryphe/Pantheon-RP-1.5-12b-Nemo

License for this model is: cc-by-nc-4.0

TO CLEAR SOME CONFUSION: Please use ChatML I hope this was worth the time I spent to create this merge, lol

Gated access for now, gated access will be disabled when testing is done, and thanks to all who have interest.

Thank you to AuriAetherwiing for helping me merge the models.

Details

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the della_linear merge method using C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407 as a base.

Models Merged

The following models were included in the merge:

  • C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4
  • C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
  • C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4
    parameters:
      weight: 0.3
      density: 0.25
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2
    parameters:
      weight: 0.1
      density: 0.4
  - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo
    parameters:
      weight: 0.4
      density: 0.5
merge_method: della_linear
base_model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407
parameters:
  epsilon: 0.05
  lambda: 1
merge_method: della_linear
dtype: bfloat16
Downloads last month
59
GGUF
Model size
12B params
Architecture
llama
Hardware compatibility
Log In to add your hardware

2-bit

3-bit

4-bit

5-bit

6-bit

8-bit

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support