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Collection
74 items
β’
Updated
The following models were included in the merge:
A Merges of my best models !:
A very great model as it contains the deltas from all of the very hard trained models : all these models were heavy coders!
The following YAML configuration was used to produce this model:
models:
- model: LeroyDyer/Mixtral_AI_Cyber_3.m2
parameters:
density: [0.256, 0.512, 0.128] # density gradient
weight: 0.382
- model: LeroyDyer/Mixtral_AI_Cyber_2.0
parameters:
density: 0.382
weight: [0.256, 0.128, 0.256, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_3.0
parameters:
density: 0.382
weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_3.m1
parameters:
density: 0.382
weight: [0.256, 0.256, 0.512, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_1.0
parameters:
density: 0.382
weight: [0.128, 0.512, 0.128, 0.128] # weight gradient
- model: LeroyDyer/Mixtral_AI_Cyber_3.1_SFT
parameters:
density: 0.382
weight:
- filter: mlp
value: 0.5
- value: 0
merge_method: ties
base_model: LeroyDyer/Mixtral_AI_Cyber_3.m2
parameters:
normalize: true
int8_mask: true
dtype: float16
Base model
liminerity/M7-7b