Merge AIDC-ai-business/Marcoroni-7B-v3, Q-bert/MetaMath-Cybertron-Starling, mistralai/Mistral-7B-Instruct-v0.2 using slerp merge from https://github.com/cg123/mergekit.
After that we trained DPO with HF data.
config.yaml
slices:
- sources:
- model: AIDC-ai-business/Marcoroni-7B-v3
layer_range: [0, 32]
- model: Q-bert/MetaMath-Cybertron-Starling
layer_range: [0, 32]
merge_method: slerp
base_model: AIDC-ai-business/Marcoroni-7B-v3
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
dtype: float16
You can use alpaca template.
template_format = """{system}
### Instruction:
{prompt}
### Response:
"""