README.md

metadata

base_model:
  - failspy/Llama-3-8B-Instruct-MopeyMule
  - NousResearch/DeepHermes-3-Llama-3-8B-Preview
library_name: transformers
tags:
  - mergekit
  - merge
license: llama3
model-index:
  - name: Llama-3-8B-Instruct-MultiMoose
    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: 23.18
            name: averaged accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
          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: 1.21
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
          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: 0
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
          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: 0.45
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
          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: 2.73
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
          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: 1.04
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=stupidity-ai%2FLlama-3-8B-Instruct-MultiMoose
          name: Open LLM Leaderboard

merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the Multiplicative Model Merger merge method.

Models Merged

The following models were included in the merge:

• failspy/Llama-3-8B-Instruct-MopeyMule
• NousResearch/DeepHermes-3-Llama-3-8B-Preview

Configuration

The following YAML configuration was used to produce this model:

merge_method: mult
models:
  - model: failspy/Llama-3-8B-Instruct-MopeyMule
  - model: NousResearch/DeepHermes-3-Llama-3-8B-Preview
parameters:
  scale: 3 # adjust as needed
  normalize: true

Open LLM Leaderboard Evaluation Results

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

Metric	Value (%)
Average	4.77
IFEval (0-Shot)	23.18
BBH (3-Shot)	1.21
MATH Lvl 5 (4-Shot)	0.00
GPQA (0-shot)	0.45
MuSR (0-shot)	2.73
MMLU-PRO (5-shot)	1.04