EmbeddedLLM/Mistral-7B-Merge-02-v0
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Model Description
This is an experiment to compare merging 2 models using DARE TIES versus SLERP 🦙
We are mainly interested to compare against Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
The 2 models involved in the merge as follows:
- base model: mistralai/Mistral-7B-v0.1
The yaml config file for the merge is:
models:
- model: mistralai/Mistral-7B-v0.1
# no parameters necessary for base model
- model: teknium/OpenHermes-2.5-Mistral-7B
parameters:
weight: 0.5
density: 0.5
- model: Intel/neural-chat-7b-v3-3
parameters:
weight: 0.5
density: 0.5
merge_method: dare_ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
int8_mask: true
dtype: bfloat16Open LLM Leaderboard
Note that with more tuning DARE TIES might achieve better results.