metadata
base_model:
- Azazelle/Half-NSFW_Noromaid-7b
- mlabonne/NeuralHermes-2.5-Mistral-7B
- NeuralNovel/Panda-7B-v0.1
tags:
- mergekit
- merge
license: openrail
library_name: transformers
pipeline_tag: text-classification
Noromaid-Panda-Mistral-MoE-7B-slerp
This model is in a testing phase, do not expect anything since I release open llm leaderboard score.
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: mlabonne/NeuralHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: slerp
parameters:
t:
- filter: self_attn
value: [0.0, 0.5, 0.3, 0.7, 1.0]
- filter: mlp
value: [1.0, 0.5, 0.7, 0.3, 0.0]
- value: 0.5
slices:
- sources:
- layer_range: [0, 32]
model: Azazelle/Half-NSFW_Noromaid-7b
- layer_range: [0, 32]
model: NeuralNovel/Panda-7B-v0.1