| models: | |
| - model: mistralai/Mistral-7B-v0.1 | |
| # no parameters necessary for base model | |
| - model: OpenPipe/mistral-ft-optimized-1218 | |
| parameters: | |
| density: 0.5 | |
| weight: 0.4 | |
| - model: mlabonne/NeuralHermes-2.5-Mistral-7B | |
| parameters: | |
| density: 0.5 | |
| weight: 0.3 | |
| - model: HuggingFaceH4/zephyr-7b-beta | |
| parameters: | |
| density: 0.5 | |
| weight: 0.3 | |
| - model: nvidia/OpenMath-Mistral-7B-v0.1-hf | |
| parameters: | |
| density: 0.5 | |
| weight: 0.2 | |
| - model: teknium/OpenHermes-2.5-Mistral-7B | |
| parameters: | |
| density: 0.5 | |
| weight: 0.5 | |
| - model: teknium/CollectiveCognition-v1.1-Mistral-7B | |
| parameters: | |
| density: 0.5 | |
| weight: 0.3 | |
| - model: NousResearch/Hermes-2-Pro-Mistral-7B | |
| parameters: | |
| density: 0.5 | |
| weight: 0.3 | |
| - model: HuggingFaceH4/zephyr-7b-alpha | |
| parameters: | |
| density: 0.5 | |
| weight: 0.3 | |
| merge_method: ties | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| parameters: | |
| normalize: true | |
| dtype: float16 |