metadata

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, engineering student at French Engineering School ECE
Matthieu Jollard, engineering student at French Engineering School ECE

Under the supervision of :

Andre-Louis Rochet, Lecturer at ECE & Co-Founder of TW3 Partners
Paul Lemaistre, CTO of TW3 Partners

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

Le_Triomphant-ECE-TW3

Le_Triomphant-ECE-TW3 is a merge of the following models using mergekit:

🧩 Configuration

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

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