metadata
license: apache-2.0
language:
- en
tags:
- merge
base_model:
- teknium/OpenHermes-2.5-Mistral-7B
- Intel/neural-chat-7b-v3-3
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: bfloat16
Open LLM Leaderboard
Note that with more tuning DARE TIES might achieve better results.
| DARE TIES | SLERP | |
|---|---|---|
| Average | 70.69 | 71.38 |
| ARC | 67.49 | 68.09 |
| HellaSwag | 85.78 | 86.2 |
| MMLU | 64.1 | 64.26 |
| TruthfulQA | 60.52 | 62.78 |
| Winogrande | 79.01 | 79.16 |
| GSM8K | 67.25 | 67.78 |