YACHT-Llama-3-Ko-8B / mergekit_config.yml
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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: winglian/llama-3-8b-256k-PoSE
parameters:
density: 0.55
weight: 0.15
- model: nvidia/Llama3-ChatQA-1.5-8B
parameters:
density: 0.55
weight: 0.1
- model: asiansoul/Llama-3-Open-Ko-Linear-8B
parameters:
density: 0.55
weight: 0.2
- model: maum-ai/Llama-3-MAAL-8B-Instruct-v0.1
parameters:
density: 0.55
weight: 0.1
- model: NousResearch/Hermes-2-Pro-Llama-3-8B
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: 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