mathcoder-mistral-7B / mergekit_config.yml
bergr7f's picture
Upload folder using huggingface_hub
872a741 verified
raw
history blame contribute delete
543 Bytes
models:
- model: mistralai/Mistral-7B-v0.1 # no parameters necessary for base model
- model: WizardLM/WizardMath-7B-V1.1
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: codellama/CodeLlama-7b-Instruct-hf
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
normalize: true
int8_mask: true
dtype: float16