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  ---
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- base_model:
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- - flammenai/flammen15-gutenberg-DPO-v1-7B
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- - Eric111/CatunaLaserPi
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  tags:
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  - merge
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  - mergekit
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  - lazymergekit
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  - flammenai/flammen15-gutenberg-DPO-v1-7B
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  - Eric111/CatunaLaserPi
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  If you're interested in my models, you can vote for them to be evaluated on the [Leadarboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard).
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  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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  print(outputs[0]["generated_text"])
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
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  tags:
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  - merge
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  - mergekit
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  - lazymergekit
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  - flammenai/flammen15-gutenberg-DPO-v1-7B
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  - Eric111/CatunaLaserPi
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+ base_model:
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+ - flammenai/flammen15-gutenberg-DPO-v1-7B
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+ - Eric111/CatunaLaserPi
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+ model-index:
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+ - name: GutenLaserPi
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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: 42.27
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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=Stark2008/GutenLaserPi
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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: 32.98
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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=Stark2008/GutenLaserPi
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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: 7.18
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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=Stark2008/GutenLaserPi
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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: 4.92
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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=Stark2008/GutenLaserPi
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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: 16.99
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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=Stark2008/GutenLaserPi
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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: 23.4
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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=Stark2008/GutenLaserPi
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+ name: Open LLM Leaderboard
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  ---
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108
  If you're interested in my models, you can vote for them to be evaluated on the [Leadarboard](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard).
 
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  outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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  print(outputs[0]["generated_text"])
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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/details_Stark2008__GutenLaserPi)
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+
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+ | Metric |Value|
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+ |-------------------|----:|
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+ |Avg. |21.29|
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+ |IFEval (0-Shot) |42.27|
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+ |BBH (3-Shot) |32.98|
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+ |MATH Lvl 5 (4-Shot)| 7.18|
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+ |GPQA (0-shot) | 4.92|
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+ |MuSR (0-shot) |16.99|
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+ |MMLU-PRO (5-shot) |23.40|
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+