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--- |
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license: other |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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- Qwen/Qwen2-72B-Instruct |
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- cognitivecomputations/dolphin-2.9.2-qwen2-72b |
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model-index: |
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- name: ECE-ILAB-Q1 |
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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: 78.65 |
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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=paulml/ECE-ILAB-Q1 |
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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: 53.7 |
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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=paulml/ECE-ILAB-Q1 |
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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: 26.13 |
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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=paulml/ECE-ILAB-Q1 |
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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: 18.23 |
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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=paulml/ECE-ILAB-Q1 |
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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: 18.81 |
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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=paulml/ECE-ILAB-Q1 |
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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: 50.06 |
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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=paulml/ECE-ILAB-Q1 |
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name: Open LLM Leaderboard |
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--- |
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# ECE-ILAB-Q1 |
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## This model has been produced by : |
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- [Louis Garcia](https://www.linkedin.com/in/louis-garcia-profil/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/) |
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- [Matthieu Jollard](https://www.linkedin.com/in/matthieu-jollard/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/) |
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- [Andre-Louis Rochet](https://www.linkedin.com/in/andrelouisrochet/), Lecturer at ECE & Co-Founder of [TW3 Partners](https://tw3partners.fr/) |
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- [Paul Lemaistre](https://www.linkedin.com/in/paul-lemaistre/), CTO of [TW3 Partners](https://tw3partners.fr/) |
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## With the contribution of : |
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- ECE engineering school as sponsor |
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## About ECE |
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>_**ECE**, a multi-program, multi-campus, and multi-sector engineering school specializing in digital engineering, |
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> trains engineers and technology experts for the 21st century, capable of meeting the challenges of the dual digital and sustainable development revolutions. |
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>[French Engineering School ECE](https://www.ece.fr/en/)_ |
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merge-qwen2-72B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): |
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* [Qwen/Qwen2-72B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) |
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* [cognitivecomputations/dolphin-2.9.2-qwen2-72b](https://huggingface.co/cognitivecomputations/dolphin-2.9.2-qwen2-72b) |
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## 🧩 Configuration |
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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_paulml__ECE-ILAB-Q1) |
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| Metric |Value| |
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|-------------------|----:| |
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|Avg. |40.93| |
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|IFEval (0-Shot) |78.65| |
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|BBH (3-Shot) |53.70| |
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|MATH Lvl 5 (4-Shot)|26.13| |
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|GPQA (0-shot) |18.23| |
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|MuSR (0-shot) |18.81| |
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|MMLU-PRO (5-shot) |50.06| |
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