README.md

---
license: apache-2.0
tags:
- merge
- mergekit
- MTSAIR/MultiVerse_70B
- davidkim205/Rhea-72b-v0.5
model-index:
- name: TW3-JRGL-v2
  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: 53.16
      name: strict accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
      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: 45.61
      name: normalized accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
      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: 15.86
      name: exact match
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
      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: 14.54
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
      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: 20.7
      name: acc_norm
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
      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: 42.87
      name: accuracy
    source:
      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=paloalma/TW3-JRGL-v2
      name: Open LLM Leaderboard
---

# TW3-JRGL-v2

## 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/)_



# TW3-JRGL-v2

Le_Triomphant-ECE-TW3 is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
* [davidkim205/Rhea-72b-v0.5](https://huggingface.co/davidkim205/Rhea-72b-v0.5)
* [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__TW3-JRGL-v2)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |32.12|
|IFEval (0-Shot)    |53.16|
|BBH (3-Shot)       |45.61|
|MATH Lvl 5 (4-Shot)|15.86|
|GPQA (0-shot)      |14.54|
|MuSR (0-shot)      |20.70|
|MMLU-PRO (5-shot)  |42.87|