Mistral
Collection
MistralAI-based models
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682 items
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Updated
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1
This is a merge of pre-trained language models created using mergekit.
Base model for further finetuning.
This model was merged using the SLERP merge method.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: ArliAI/Mistral-Small-24B-ArliAI-RPMax-v1.4
layer_range: [0, 32]
- model: cognitivecomputations/Dolphin3.0-R1-Mistral-24B
layer_range: [0, 32]
merge_method: slerp
base_model: cognitivecomputations/Dolphin3.0-R1-Mistral-24B
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
dtype: bfloat16