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--- |
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license: apache-2.0 |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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base_model: |
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- huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2 |
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- bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora |
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model-index: |
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- name: DSR1-Distill-Qwen-7B-RP |
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results: |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: IFEval (0-Shot) |
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type: HuggingFaceH4/ifeval |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: inst_level_strict_acc and prompt_level_strict_acc |
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value: 36.09 |
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name: strict accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Qwen-7B-RP |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: BBH (3-Shot) |
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type: BBH |
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args: |
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num_few_shot: 3 |
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metrics: |
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- type: acc_norm |
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value: 19.85 |
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name: normalized accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Qwen-7B-RP |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MATH Lvl 5 (4-Shot) |
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type: hendrycks/competition_math |
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args: |
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num_few_shot: 4 |
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metrics: |
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- type: exact_match |
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value: 48.04 |
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name: exact match |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Qwen-7B-RP |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: GPQA (0-shot) |
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type: Idavidrein/gpqa |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 9.28 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Qwen-7B-RP |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MuSR (0-shot) |
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type: TAUR-Lab/MuSR |
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args: |
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num_few_shot: 0 |
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metrics: |
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- type: acc_norm |
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value: 8.8 |
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name: acc_norm |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Qwen-7B-RP |
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name: Open LLM Leaderboard |
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- task: |
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type: text-generation |
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name: Text Generation |
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dataset: |
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name: MMLU-PRO (5-shot) |
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type: TIGER-Lab/MMLU-Pro |
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config: main |
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split: test |
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args: |
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num_few_shot: 5 |
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metrics: |
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- type: acc |
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value: 22.53 |
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name: accuracy |
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source: |
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url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/DSR1-Distill-Qwen-7B-RP |
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name: Open LLM Leaderboard |
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--- |
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# Merge |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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Quants: |
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- |
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https://huggingface.co/Triangle104/DSR1-Distill-Qwen-7B-RP-Q4_K_M-GGUF |
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https://huggingface.co/mradermacher/DSR1-Distill-Qwen-7B-RP-GGUF |
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https://huggingface.co/mradermacher/DSR1-Distill-Qwen-7B-RP-i1-GGUF |
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## Merge Method |
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This model was merged using the Passthrough merge method using [huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2](https://huggingface.co/huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2) + [bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora](https://huggingface.co/bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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base_model: huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2+bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora |
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dtype: bfloat16 |
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merge_method: passthrough |
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models: |
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- model: huihui-ai/DeepSeek-R1-Distill-Qwen-7B-abliterated-v2+bunnycore/Qwen-2.5-7B-1M-RRP-v1-lora |
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tokenizer_source: deepseek-ai/DeepSeek-R1-Distill-Qwen-7B |
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``` |
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# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) |
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Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/Triangle104__DSR1-Distill-Qwen-7B-RP-details) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |24.10| |
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|IFEval (0-Shot) |36.09| |
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|BBH (3-Shot) |19.85| |
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|MATH Lvl 5 (4-Shot)|48.04| |
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|GPQA (0-shot) | 9.28| |
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|MuSR (0-shot) | 8.80| |
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|MMLU-PRO (5-shot) |22.53| |
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