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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- lesubra/merge-test |
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- jpacifico/Chocolatine-3B-Instruct-DPO-v1.0 |
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model-index: |
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- name: ECE-EIFFEL-3B |
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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: 34.69 |
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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=lesubra/ECE-EIFFEL-3B |
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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: 31.29 |
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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=lesubra/ECE-EIFFEL-3B |
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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: 8.84 |
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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=lesubra/ECE-EIFFEL-3B |
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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: 10.85 |
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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=lesubra/ECE-EIFFEL-3B |
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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: 14.7 |
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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=lesubra/ECE-EIFFEL-3B |
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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: 31.34 |
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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=lesubra/ECE-EIFFEL-3B |
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name: Open LLM Leaderboard |
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--- |
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# ECE-EIFFEL-3B |
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ECE-EIFFEL-3B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): |
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* [lesubra/merge-test](https://huggingface.co/lesubra/merge-test) |
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* [jpacifico/Chocolatine-3B-Instruct-DPO-v1.0](https://huggingface.co/jpacifico/Chocolatine-3B-Instruct-DPO-v1.0) |
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## 🧩 Configuration |
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```yaml |
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slices: |
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- sources: |
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- model: lesubra/merge-test |
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layer_range: [0, 32] |
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- model: jpacifico/Chocolatine-3B-Instruct-DPO-v1.0 |
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layer_range: [0, 32] |
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merge_method: slerp |
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base_model: lesubra/merge-test |
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parameters: |
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t: |
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- filter: self_attn |
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value: [0, 0.5, 0.3, 0.7, 1] |
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- filter: mlp |
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value: [1, 0.5, 0.7, 0.3, 0] |
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- value: 0.5 |
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dtype: bfloat16 |
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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_lesubra__ECE-EIFFEL-3B) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |21.95| |
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|IFEval (0-Shot) |34.69| |
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|BBH (3-Shot) |31.29| |
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|MATH Lvl 5 (4-Shot)| 8.84| |
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|GPQA (0-shot) |10.85| |
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|MuSR (0-shot) |14.70| |
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|MMLU-PRO (5-shot) |31.34| |
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