metadata
base_model: []
library_name: transformers
tags:
- mergekit
- merge
OrcaHermes-Mistral-70B
This model was created by SLERP Merging 2 Miqu Models trained on 2 high preforming datsets Just an experiment have not seen much miqu slerps yet.
Models Merged
The following models were included in the merge:
- Base Miqu Trained on Openhermes
ShinojiResearch/Senku-70B-Full
- Base Miqu Trained on Slimorca
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: local//path//to//Senku-70B-Full
layer_range: [0, 80]
- model: local//path//to//miqu-openhermes-full
layer_range: [0, 80]
merge_method: slerp
base_model: local//path//to//Senku-70B-Full
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5 # fallback for rest of tensors
dtype: float16