| models: | |
| - model: NousResearch/Meta-Llama-3-8B | |
| - model: NousResearch/Meta-Llama-3-8B-Instruct | |
| parameters: | |
| density: 0.60 | |
| weight: 0.25 | |
| - model: beomi/Llama-3-KoEn-8B-preview | |
| parameters: | |
| density: 0.55 | |
| weight: 0.2 | |
| - model: saltlux/Ko-Llama3-Luxia-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.15 | |
| - model: beomi/Llama-3-KoEn-8B-Instruct-preview | |
| parameters: | |
| density: 0.55 | |
| weight: 0.15 | |
| - model: nvidia/Llama3-ChatQA-1.5-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.1 | |
| - model: cognitivecomputations/dolphin-2.9-llama3-8b | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| - model: Danielbrdz/Barcenas-Llama3-8b-ORPO | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| - model: abacusai/Llama-3-Smaug-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| - model: aaditya/Llama3-OpenBioLLM-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.1 | |
| merge_method: dare_ties | |
| base_model: NousResearch/Meta-Llama-3-8B | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |