llama 3 experiments
Collection
Merge and finetune experiments with llama 3, aiming for decensorship and benchmark performance.
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17 items
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Updated
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:
models:
- model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
layer_range: [0, 32]
- model: nbeerbower/llama-3-dragonmaid-8B
layer_range: [0, 32]
merge_method: slerp
base_model: nbeerbower/llama-3-dragonmaid-8B
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