Experimental Model Merge ⚗️
Collection
Experimental Model Merge using mergekit FP16 Weight
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7 items
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Updated
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2
This is a merge of pre-trained language models created using mergekit.
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: Sao10K/L3-8B-Stheno-v3.2
layer_range:
- 0
- 32
- model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
layer_range:
- 0
- 32
merge_method: slerp
base_model: Sao10K/L3-8B-Stheno-v3.2
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: float16