Llama3 8B mergekit
Collection
23 items
•
Updated
This is a merge of pre-trained language models created using mergekit.
This model was merged using the DARE TIES merge method using meta-llama/Llama-3.1-8B as a base.
The following models were included in the merge:
The following YAML configuration was used to produce this model:
base_model: meta-llama/Llama-3.1-8B
dtype: float16
merge_method: dare_ties
parameters:
normalize: 1.0
slices:
- sources:
- layer_range: [0, 32]
model: Alelcv27/llama3-8b-math-dpo
parameters:
density: 0.6
weight: 1.0
- layer_range: [0, 32]
model: Alelcv27/llama3-8b-code-dpo
parameters:
density: 0.3
weight: 0.4
- layer_range: [0, 32]
model: meta-llama/Llama-3.1-8B