FwF-Qwen-7B-0.2 is a large language model that is created by merging three other models. These models are specialized for reasoning, long thinking, roleplay, and general tasks, respectively.
Merge Details
Merge Method
This model was merged using the linear merge method.
Models Merged
The following models were included in the merge:
- bunnycore/FuseQwQen-7B
- prithivMLmods/QwQ-LCoT-7B-Instruct
- qingy2024/UwU-7B-Instruct
- fblgit/cybertron-v4-qw7B-UNAMGS
Configuration
The following YAML configuration was used to produce this model:
models:
- model: bunnycore/FuseQwQen-7B
parameters:
weight: 0.9
- model: qingy2024/UwU-7B-Instruct
parameters:
weight: 0.9
- model: prithivMLmods/QwQ-LCoT-7B-Instruct
parameters:
weight: 0.5
- model: fblgit/cybertron-v4-qw7B-UNAMGS
parameters:
weight: 0.5
merge_method: linear
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 26.68 |
| IFEval (0-Shot) | 44.79 |
| BBH (3-Shot) | 37.67 |
| MATH Lvl 5 (4-Shot) | 22.36 |
| GPQA (0-shot) | 5.37 |
| MuSR (0-shot) | 12.29 |
| MMLU-PRO (5-shot) | 37.58 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard44.790
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard37.670
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard22.360
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.370
- acc_norm on MuSR (0-shot)Open LLM Leaderboard12.290
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard37.580