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README.md
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---
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base_model:
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- allknowingroger/Qwenslerp2-14B
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- rombodawg/Rombos-LLM-V2.6-Qwen-14b
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- VAGOsolutions/SauerkrautLM-v2-14b-DPO
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- Qwen/Qwen2.5-14B
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- CultriX/Qwen2.5-14B-Wernicke
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---
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# merge
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@@ -72,4 +161,17 @@ adaptive_merge_parameters:
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smoothing_factor: 0.15 # Fine-tune blending for stable transitions between tasks
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gradient_clipping: 1.0 # Prevent over-contribution from any single model
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```
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---
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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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- allknowingroger/Qwenslerp2-14B
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- rombodawg/Rombos-LLM-V2.6-Qwen-14b
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- VAGOsolutions/SauerkrautLM-v2-14b-DPO
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- Qwen/Qwen2.5-14B
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- CultriX/Qwen2.5-14B-Wernicke
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model-index:
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- name: Qwestion-14B
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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: 63.18
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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=CultriX/Qwestion-14B
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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: 48.76
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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=CultriX/Qwestion-14B
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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: 31.72
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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=CultriX/Qwestion-14B
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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: 15.77
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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=CultriX/Qwestion-14B
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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: 17.22
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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=CultriX/Qwestion-14B
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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: 49.14
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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=CultriX/Qwestion-14B
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name: Open LLM Leaderboard
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---
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# merge
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smoothing_factor: 0.15 # Fine-tune blending for stable transitions between tasks
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gradient_clipping: 1.0 # Prevent over-contribution from any single model
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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_CultriX__Qwestion-14B)
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| Metric |Value|
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|-------------------|----:|
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|Avg. |37.63|
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|IFEval (0-Shot) |63.18|
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|BBH (3-Shot) |48.76|
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|MATH Lvl 5 (4-Shot)|31.72|
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|GPQA (0-shot) |15.77|
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|MuSR (0-shot) |17.22|
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|MMLU-PRO (5-shot) |49.14|
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