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-Qwen-2.5-7B-Instruct
- fblgit/cybertron-v4-qw7B-UNAMGS + bunnycore/Qwen-2.1-7b-Persona-lora_model
- prithivMLmods/QwQ-LCoT-7B-Instruct
- fblgit/cybertron-v4-qw7B-UNAMGS
Configuration
The following YAML configuration was used to produce this model:
models:
- model: FuseAI/FuseChat-Qwen-2.5-7B-Instruct
parameters:
weight: 0.5
- model: prithivMLmods/QwQ-LCoT-7B-Instruct
parameters:
weight: 1.0
- model: fblgit/cybertron-v4-qw7B-UNAMGS
parameters:
weight: 0.3
- model: fblgit/cybertron-v4-qw7B-UNAMGS+bunnycore/Qwen-2.1-7b-Persona-lora_model
parameters:
weight: 0.6
merge_method: linear
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 29.40 |
| IFEval (0-Shot) | 72.75 |
| BBH (3-Shot) | 35.91 |
| MATH Lvl 5 (4-Shot) | 12.01 |
| GPQA (0-shot) | 5.93 |
| MuSR (0-shot) | 11.98 |
| MMLU-PRO (5-shot) | 37.85 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard72.750
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.910
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.010
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.930
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.980
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.850