merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using Qwen/Qwen2.5-7B as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Qwen/Qwen2.5-7B-Instruct
parameters:
weight: 1
density: 1
merge_method: ties
base_model: Qwen/Qwen2.5-7B
parameters:
weight: 1
density: 1
normalize: true
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 31.78 |
| IFEval (0-Shot) | 62.64 |
| BBH (3-Shot) | 36.32 |
| MATH Lvl 5 (4-Shot) | 32.33 |
| GPQA (0-shot) | 9.51 |
| MuSR (0-shot) | 11.50 |
| MMLU-PRO (5-shot) | 38.39 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard62.640
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard36.320
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard32.330
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.510
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.500
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard38.390