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Noromaid-Panda-Mistral-MoE-7B-slerp

This model is in a testing phase, do not expect anything since I release open llm leaderboard score.

intro 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
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Model size
7.24B params
Tensor type
BF16
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