merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using Qwen/Qwen2.5-7B-Instruct 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: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
- model: Qwen/Qwen2.5-7B-Instruct
- model: Qwen/Qwen2.5-7B-Instruct+bunnycore/Qwen-2.5-7b-rp-lora
base_model: Qwen/Qwen2.5-7B-Instruct
merge_method: model_stock
parameters:
dtype: bfloat16
tokenizer_source: Qwen/Qwen2.5-7B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 26.97 |
| IFEval (0-Shot) | 75.73 |
| BBH (3-Shot) | 34.85 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 6.60 |
| MuSR (0-shot) | 8.05 |
| MMLU-PRO (5-shot) | 36.60 |
- Downloads last month
- 36
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for bunnycore/Qwen-2.5-7B-R1-Stock
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard75.730
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard34.850
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.000
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.600
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.050
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard36.600