merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Rerun of V2 using Meta's repo and a possibly better config?
I'm unsure if the results will be much different, I don't know if model stock varies the mix much.
Merge Method
This model was merged using the Model Stock merge method using openlynn/Llama-3-Soliloquy-8B-v2 as a base.
Models Merged
The following models were included in the merge:
- meta-llama/Meta-Llama-3-8B-Instruct + ResplendentAI/Luna_Llama3
- meta-llama/Meta-Llama-3-8B-Instruct + ResplendentAI/RP_Format_QuoteAsterisk_Llama3
- meta-llama/Meta-Llama-3-8B-Instruct + ResplendentAI/Smarts_Llama3
- meta-llama/Meta-Llama-3-8B-Instruct + ResplendentAI/BlueMoon_Llama3
- meta-llama/Meta-Llama-3-8B-Instruct + ResplendentAI/Aura_Llama3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: meta-llama/Meta-Llama-3-8B-Instruct+ResplendentAI/Aura_Llama3
- model: meta-llama/Meta-Llama-3-8B-Instruct+ResplendentAI/Smarts_Llama3
- model: meta-llama/Meta-Llama-3-8B-Instruct+ResplendentAI/Luna_Llama3
- model: meta-llama/Meta-Llama-3-8B-Instruct+ResplendentAI/BlueMoon_Llama3
- model: meta-llama/Meta-Llama-3-8B-Instruct+ResplendentAI/RP_Format_QuoteAsterisk_Llama3
merge_method: model_stock
base_model: openlynn/Llama-3-Soliloquy-8B-v2
dtype: float16
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