| # task-wise LLM-AdaMerge with cross-entropy loss | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| models: | |
| - model: mistralai/Mistral-7B-Instruct-v0.2 | |
| parameters: | |
| weight: 0.10558585822582245 | |
| - model: TIGER-Lab/MAmmoTH2-7B | |
| parameters: | |
| weight: 0.45740658044815063 | |
| - model: Nondzu/Mistral-7B-codealpaca-lora | |
| parameters: | |
| weight: 0.5316656231880188 | |
| merge_method: task_arithmetic | |
| parameters: | |
| normalize: false | |
| lambda: 1.0 | |
| dtype: float16 | |
| tokenizer: | |
| source: union | |