CyberBrain_AI
Collection
22 items
•
Updated
This is a merge of pre-trained language models created using mergekit.
This model was merged using the TIES merge method using LeroyDyer/Mistral_AI_CyberBrain as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
models:
- model: LeroyDyer/Mistral_AI_CyberBrain
parameters:
density: [0.256, 0.512, 0.128] # density gradient
weight: 0.382
- model: liminerity/Mistral-quiet-star-demo
parameters:
density: 0.382
weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_Dolphin
parameters:
density: 0.382
weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
- model: ezelikman/quietstar-8-ahead
parameters:
density: 0.382
weight: [0.256, 0.256, 0.512, 0.128] # weight gradient
- model: liminerity/Mistral-quiet-star-demo
parameters:
density: 0.382
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: LeroyDyer/Mistral_AI_CyberBrain
parameters:
normalize: true
int8_mask: true
dtype: float16