README.md

metadata

license: llama3.1
base_model:
  - DreadPoor/LemonP-8B-Model_Stock
  - Youlln/1PARAMMYL-8B-ModelStock
  - jaspionjader/f-2-8b
  - Etherll/SuperHermes
  - meta-llama/Llama-3.1-8B-Instruct
tags:
  - merge
  - mergekit
model-index:
  - name: Llama3.1-Daredevilish-Instruct
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: IFEval (0-Shot)
          type: wis-k/instruction-following-eval
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: inst_level_strict_acc and prompt_level_strict_acc
            value: 79.41
            name: averaged accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: BBH (3-Shot)
          type: SaylorTwift/bbh
          split: test
          args:
            num_few_shot: 3
        metrics:
          - type: acc_norm
            value: 32.22
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MATH Lvl 5 (4-Shot)
          type: lighteval/MATH-Hard
          split: test
          args:
            num_few_shot: 4
        metrics:
          - type: exact_match
            value: 16.77
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GPQA (0-shot)
          type: Idavidrein/gpqa
          split: train
          args:
            num_few_shot: 0
        metrics:
          - type: acc_norm
            value: 7.61
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
          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: 7.92
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
          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: 31.97
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=agentlans%2FLlama3.1-Daredevilish-Instruct
          name: Open LLM Leaderboard

Llama 3.1 Daredevilish Instruct

• This model is an experimental Llama 3.1-based merge, inspired by the approach used in mlabonne/Daredevil-8B.
• It combines top-performing Llama 3.1 8B models on the MMLU-Pro benchmark from the Open LLM Leaderboard as of January 21, 2025.
• Its straightforward language makes it accessible and potentially valuable for everyday use.

Model Details

• Architecture: Llama 3.1 (8.03B parameters)
• Training: Merged from top MMLU-Pro models without additional finetuning
• Release Date: January 21, 2025

Merge Configuration

The model was created using mergekit with the following merge configuration:

models:
  - model: DreadPoor/LemonP-8B-Model_Stock
    parameters:
      density: 0.6
      weight: 0.16
  - model: Youlln/1PARAMMYL-8B-ModelStock
    parameters:
      density: 0.6
      weight: 0.13
  - model: jaspionjader/f-2-8b
    parameters:
      density: 0.6
      weight: 0.10
  - model: Etherll/SuperHermes
    parameters:
      density: 0.6
      weight: 0.08
merge_method: dare_ties
base_model: meta-llama/Llama-3.1-8B-Instruct
dtype: bfloat16

Usage and Limitations

This experimental model is designed for research and development purposes. Users should be aware of potential biases and limitations inherent in language models. Always validate outputs and use the model responsibly.

Future Work

Further evaluation and fine-tuning may be necessary to optimize performance across various tasks. Researchers are encouraged to build upon this experimental merge to advance the capabilities of Llama-based models.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here! Summarized results can be found here!

Metric	Value (%)
Average	29.32
IFEval (0-Shot)	79.41
BBH (3-Shot)	32.22
MATH Lvl 5 (4-Shot)	16.77
GPQA (0-shot)	7.61
MuSR (0-shot)	7.92
MMLU-PRO (5-shot)	31.97