--- license: apache-2.0 tags: - merge - mergekit - lazymergekit - abacusai/Smaug-72B-v0.1 - MTSAIR/MultiVerse_70B model-index: - name: Le_Triomphant-ECE-TW3 results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 54.02 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/Le_Triomphant-ECE-TW3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 44.96 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/Le_Triomphant-ECE-TW3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 17.45 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/Le_Triomphant-ECE-TW3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 13.2 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/Le_Triomphant-ECE-TW3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 18.5 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/Le_Triomphant-ECE-TW3 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 41.81 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/Le_Triomphant-ECE-TW3 name: Open LLM Leaderboard --- # Le_Triomphant-ECE-TW3 ## This model has been produced by : - [Louis Garcia](https://www.linkedin.com/in/louis-garcia-profil/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/) - [Matthieu Jollard](https://www.linkedin.com/in/matthieu-jollard/), engineering student at [French Engineering School ECE](https://www.ece.fr/en/) ## Under the supervision of : - [Andre-Louis Rochet](https://www.linkedin.com/in/andrelouisrochet/), Lecturer at ECE & Co-Founder of [TW3 Partners](https://tw3partners.fr/) - [Paul Lemaistre](https://www.linkedin.com/in/paul-lemaistre/), CTO of [TW3 Partners](https://tw3partners.fr/) ## With the contribution of : - ECE engineering school as sponsor and financial contributor - RunPod as financial contributor ## About ECE >_**ECE**, a multi-program, multi-campus, and multi-sector engineering school specializing in digital engineering, > trains engineers and technology experts for the 21st century, capable of meeting the challenges of the dual digital and sustainable development revolutions. >[French Engineering School ECE](https://www.ece.fr/en/)_ # Le_Triomphant-ECE-TW3 Le_Triomphant-ECE-TW3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): * [abacusai/Smaug-72B-v0.1](https://huggingface.co/abacusai/Smaug-72B-v0.1) * [MTSAIR/MultiVerse_70B](https://huggingface.co/MTSAIR/MultiVerse_70B) ## 🧩 Configuration # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard) Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_paloalma__Le_Triomphant-ECE-TW3) | Metric |Value| |-------------------|----:| |Avg. |31.66| |IFEval (0-Shot) |54.02| |BBH (3-Shot) |44.96| |MATH Lvl 5 (4-Shot)|17.45| |GPQA (0-shot) |13.20| |MuSR (0-shot) |18.50| |MMLU-PRO (5-shot) |41.81|