This is a Ties merge between the following models:
The Coding, and Overall performance of this models seems to be better than both base models used in the merge. Benchmarks are coming in the future.
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 16.32 |
| IFEval (0-Shot) | 53.88 |
| BBH (3-Shot) | 21.94 |
| MATH Lvl 5 (4-Shot) | 7.10 |
| GPQA (0-shot) | 2.57 |
| MuSR (0-shot) | 3.45 |
| MMLU-PRO (5-shot) | 8.98 |
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Model tree for rombodawg/rombos_Replete-Coder-Instruct-8b-Merged
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard53.880
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard21.940
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard7.100
- acc_norm on GPQA (0-shot)Open LLM Leaderboard2.570
- acc_norm on MuSR (0-shot)Open LLM Leaderboard3.450
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard8.980