Qwen
Collection
Alibaba Cloud-based models
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1246 items
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Updated
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5
Merge
This is a merge of pre-trained language models created using mergekit.
Quants:
https://huggingface.co/Triangle104/DSR1-Distill-Qwen-7B-RP-Q4_K_M-GGUF
https://huggingface.co/mradermacher/DSR1-Distill-Qwen-7B-RP-GGUF
https://huggingface.co/mradermacher/DSR1-Distill-Qwen-7B-RP-i1-GGUF
Merge Method
This model was merged using the Passthrough merge method using huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2 + bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
base_model: huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2+bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
dtype: bfloat16
merge_method: passthrough
models:
- model: huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2+bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora
tokenizer_source: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 24.10 |
| IFEval (0-Shot) | 36.09 |
| BBH (3-Shot) | 19.85 |
| MATH Lvl 5 (4-Shot) | 48.04 |
| GPQA (0-shot) | 9.28 |
| MuSR (0-shot) | 8.80 |
| MMLU-PRO (5-shot) | 22.53 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard36.090
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard19.850
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard48.040
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.280
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.800
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard22.530