RichardErkhov/ProdeusUnity_-_Astral-Fusion-8b-v0.0-gguf
Quantization made by Richard Erkhov.
Astral-Fusion-8b-v0.0 - GGUF
- Model creator: https://huggingface.co/ProdeusUnity/
- Original model: https://huggingface.co/ProdeusUnity/Astral-Fusion-8b-v0.0/
Original model description: --- basemodel: [] libraryname: transformers tags:
- mergekit
- merge
Astral-Fusion-8b-v0.0
Join my dream, it's just the right time, whoa... Leave it all behind... Get ready now... Riise up into my world~
Listen to the song on youtube: https://www.youtube.com/watch?v=npyiiInMA0w
Another attempt at a merge, not entirely related to Stellar Odyssey. I like it, so try it out?
Merged Models:
- meta-llama/Llama-3-8b-Instruct
- Sao10K_L3-8B-Stheno-v3.2
- Gryphe_Pantheon-RP-1.0-8b-Llama-3
- Celeste-Stable-v1.2
This is a merge of pre-trained language models created using mergekit.
Edit: Celeste v1.2 Stable?
That itself is a merge, more to stablize Celeste since its training was at 256. It was merged with NeuralDareDevil via TIES
Merge Details
Merge Method
This model was merged using the dellalinear merge method using C:\Users\\Downloads\Mergekit-Fixed\mergekit\meta-llamaLlama-3-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3
- C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2
- C:\Users\\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_L3-8B-Stheno-v3.2
parameters:
weight: 0.3
density: 0.25
- model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Celeste-Stable-v1.2-Test2
parameters:
weight: 0.1
density: 0.4
- model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.0-8b-Llama-3
parameters:
weight: 0.4
density: 0.5
merge_method: della_linear
base_model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\meta-llama_Llama-3-8B-Instruct
parameters:
epsilon: 0.05
lambda: 1
merge_method: della_linear
dtype: bfloat16
