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 | 
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value | 
|---|---|
| Avg. | 34.68 | 
| IFEval (0-Shot) | 72.75 | 
| BBH (3-Shot) | 35.91 | 
| MATH Lvl 5 (4-Shot) | 43.66 | 
| 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