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DARE method to merge Mistral-7B-Instruct-v0.2 with 3 leading models in 12th Dec on OpenLLM Leaderboard:1base_model: mistralai/Mistral-7B-Instruct-v0.2
2dtype: bfloat16
3merge_method: dare_ties
4models:
5- model: mistralai/Mistral-7B-Instruct-v0.2
6- model: Weyaxi/OpenHermes-2.5-neural-chat-v3-3-Slerp
7 parameters:
8 density: 0.8
9 weight: 0.4
10- model: Q-bert/MetaMath-Cybertron-Starling
11 parameters:
12 density: 0.8
13 weight: 0.3
14- model: v1olet/v1olet_marcoroni-go-bruins-merge-7B
15 parameters:
16 density: 0.8
17 weight: 0.3
18parameters:
19 int8_mask: true<|im_start|>system
{system_message}<|im_end|>
<|im_start|>user
{prompt}<|im_end|>
<|im_start|>assistant{system_message}
### Instruction:
{prompt}
### Response:1337 with OpenAI compatible endpoints
| Metric | Value |
|---|---|
| Avg. | ? |
| ARC (25-shot) | ? |
| HellaSwag (10-shot) | ? |
| MMLU (5-shot) | ? |
| TruthfulQA (0-shot) | ? |
| Winogrande (5-shot) | ? |
| GSM8K (5-shot) | ? |