| models: | |
| - model: mistralai/Mistral-7B-v0.1 # no parameters necessary for base model | |
| - model: norallm/normistral-7b-warm-instruct | |
| parameters: | |
| density: 0.5 # fraction of weights in differences from the base model to retain | |
| weight: # weight gradient | |
| - filter: mlp | |
| value: 0.5 | |
| - value: 0 | |
| - model: NousResearch/Hermes-2-Theta-Llama-3-8B | |
| parameters: | |
| density: 0.5 | |
| weight: 0.5 | |
| merge_method: ties | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| parameters: | |
| normalize: true | |
| int8_mask: true | |
| dtype: bfloat16 |