| license: apache-2.0 | |
| # Seraph-7B | |
| This is the model for Seraph-7B. I used [mergekit](https://github.com/cg123/mergekit) to merge models. | |
| # Yaml Config | |
| slices: | |
| - sources: | |
| - model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp | |
| layer_range: [0, 32] | |
| - model: Q-bert/MetaMath-Cybertron-Starling | |
| layer_range: [0, 32] | |
| merge_method: slerp | |
| base_model: mistralai/Mistral-7B-v0.1 | |
| parameters: | |
| t: | |
| - filter: self_attn | |
| value: [0, 0.5, 0.3, 0.7, 1] | |
| - filter: mlp | |
| value: [1, 0.5, 0.7, 0.3, 0] | |
| - value: 0.5 # fallback for rest of tensors | |
| dtype: bfloat16 | |