README.md

---
language:
- en
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- chargoddard/prometheus-llama-3-8b-preference
- chargoddard/prometheus-llama-3-8b-absolute
datasets:
- prometheus-eval/Preference-Collection
- prometheus-eval/Feedback-Collection
model-index:
- name: prometheus-2-llama-3-8b
  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: 52.89
      name: strict accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=chargoddard/prometheus-2-llama-3-8b
      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: 27.8
      name: normalized accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=chargoddard/prometheus-2-llama-3-8b
      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: 7.25
      name: exact match
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=chargoddard/prometheus-2-llama-3-8b
      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: 3.02
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=chargoddard/prometheus-2-llama-3-8b
      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: 0.78
      name: acc_norm
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=chargoddard/prometheus-2-llama-3-8b
      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: 23.19
      name: accuracy
    source:
      url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=chargoddard/prometheus-2-llama-3-8b
      name: Open LLM Leaderboard
---
# prometheus-2-llama-3-8b

Replication of [prometheus-7b-v2.0](https://huggingface.co./prometheus-eval/prometheus-7b-v2.0) using [Llama 3 8B Instruct](https://huggingface.co./meta-llama/Meta-Llama-3-8B-Instruct) as a base model.

As in their paper, two different models were trained on their preference and feedback datasets then linearly merged at equal weight.

Training hyperparameters:
* 1 epoch
* Learning rate 1e-5
* Effective batch size 128
* Cosine annealing
* ~5% warmup


Uses Llama 3 Instruct prompt format and the same prompts as prometheus-7b-v2.0. See that readme for info.


# Citations


```bibtex
@misc{kim2023prometheus,
    title={Prometheus: Inducing Fine-grained Evaluation Capability in Language Models},
    author={Seungone Kim and Jamin Shin and Yejin Cho and Joel Jang and Shayne Longpre and Hwaran Lee and Sangdoo Yun and Seongjin Shin and Sungdong Kim and James Thorne and Minjoon Seo},
    year={2023},
    eprint={2310.08491},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```
```bibtex
@misc{kim2024prometheus,
    title={Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models},
    author={Seungone Kim and Juyoung Suk and Shayne Longpre and Bill Yuchen Lin and Jamin Shin and Sean Welleck and Graham Neubig and Moontae Lee and Kyungjae Lee and Minjoon Seo},
    year={2024},
    eprint={2405.01535},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}
```
# [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_chargoddard__prometheus-2-llama-3-8b)

|      Metric       |Value|
|-------------------|----:|
|Avg.               |19.16|
|IFEval (0-Shot)    |52.89|
|BBH (3-Shot)       |27.80|
|MATH Lvl 5 (4-Shot)| 7.25|
|GPQA (0-shot)      | 3.02|
|MuSR (0-shot)      | 0.78|
|MMLU-PRO (5-shot)  |23.19|