| models: | |
| - model: NousResearch/Meta-Llama-3-8B | |
| # Base model providing a general foundation without specific parameters | |
| - model: NousResearch/Meta-Llama-3-8B-Instruct | |
| parameters: | |
| density: 0.60 | |
| weight: 0.25 | |
| - model: beomi/Llama-3-KoEn-8B-Instruct-preview | |
| parameters: | |
| density: 0.55 | |
| weight: 0.15 | |
| - model: asiansoul/Llama-3-Open-Ko-Linear-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.1 | |
| - model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1 | |
| parameters: | |
| density: 0.55 | |
| weight: 0.1 | |
| - model: asiansoul/Joah-Llama-3-KoEn-8B-Coder-v1 | |
| parameters: | |
| density: 0.55 | |
| weight: 0.2 | |
| - model: ajibawa-2023/Code-Llama-3-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| - model: defog/llama-3-sqlcoder-8b | |
| parameters: | |
| density: 0.55 | |
| weight: 0.1 | |
| - model: Locutusque/llama-3-neural-chat-v2.2-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.1 | |
| - model: NousResearch/Hermes-2-Pro-Llama-3-8B | |
| parameters: | |
| density: 0.55 | |
| weight: 0.05 | |
| merge_method: dare_ties | |
| base_model: NousResearch/Meta-Llama-3-8B | |
| parameters: | |
| int8_mask: true | |
| dtype: bfloat16 | |