merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Linear merge method.
Models Merged
The following models were included in the merge:
- FuseAI/FuseChat-Llama-3.1-8B-SFT + kik41/lora-type-expository-llama-3-8b-v2
- SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B + kik41/lora-grade-elementary-llama-3-8b-v2
- Sao10K/L3-8B-Stheno-v3.2 + ResplendentAI/Smarts_Llama3
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Sao10K/L3-8B-Stheno-v3.2+ResplendentAI/Smarts_Llama3
parameters:
weight: 1.0
- model: FuseAI/FuseChat-Llama-3.1-8B-SFT+kik41/lora-type-expository-llama-3-8b-v2
parameters:
weight: 1.0
- model: SentientAGI/Dobby-Mini-Unhinged-Llama-3.1-8B+kik41/lora-grade-elementary-llama-3-8b-v2
parameters:
weight: 1.0
merge_method: linear
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
| Metric | Value (%) |
|---|---|
| Average | 29.32 |
| IFEval (0-Shot) | 72.96 |
| BBH (3-Shot) | 34.12 |
| MATH Lvl 5 (4-Shot) | 19.34 |
| GPQA (0-shot) | 6.49 |
| MuSR (0-shot) | 12.12 |
| MMLU-PRO (5-shot) | 30.89 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard72.960
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard34.120
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard19.340
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.490
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.120
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.890