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Adding Evaluation Results (#2)
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metadata
license: other
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - mlabonne/ChimeraLlama-3-8B-v2
  - grimjim/llama-3-merge-pp-instruct-8B
  - grimjim/llama-3-merge-virt-req-8B
  - uygarkurt/llama-3-merged-linear
  - jeiku/Orthocopter_8B
  - grimjim/llama-3-nvidia-ChatQA-1.5-8B
  - openlynn/Llama-3-Soliloquy-8B-v2
  - VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
  - nbeerbower/llama-3-stella-8B
  - cloudyu/Meta-Llama-3-8B-Instruct-DPO
  - NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
  - flammenai/Mahou-1.0-llama3-8B
  - flammenai/Mahou-1.1-llama3-8B
license_name: llama3
model-index:
  - name: llama-3-stinky-v2-8B
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: AI2 Reasoning Challenge (25-Shot)
          type: ai2_arc
          config: ARC-Challenge
          split: test
          args:
            num_few_shot: 25
        metrics:
          - type: acc_norm
            value: 66.98
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: HellaSwag (10-Shot)
          type: hellaswag
          split: validation
          args:
            num_few_shot: 10
        metrics:
          - type: acc_norm
            value: 83.2
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: MMLU (5-Shot)
          type: cais/mmlu
          config: all
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 68.33
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: TruthfulQA (0-shot)
          type: truthful_qa
          config: multiple_choice
          split: validation
          args:
            num_few_shot: 0
        metrics:
          - type: mc2
            value: 55.83
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: Winogrande (5-shot)
          type: winogrande
          config: winogrande_xl
          split: validation
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 77.51
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
          name: Open LLM Leaderboard
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: GSM8k (5-shot)
          type: gsm8k
          config: main
          split: test
          args:
            num_few_shot: 5
        metrics:
          - type: acc
            value: 69.75
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
          name: Open LLM Leaderboard

llama-3-stinky-v2-8B

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

Merge Details

Merge Method

This model was merged using the Model Stock merge method using flammenai/Mahou-1.1-llama3-8B as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: mlabonne/ChimeraLlama-3-8B-v2
  - model: cloudyu/Meta-Llama-3-8B-Instruct-DPO
  - model: nbeerbower/llama-3-stella-8B
  - model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
  - model: uygarkurt/llama-3-merged-linear
  - model: openlynn/Llama-3-Soliloquy-8B-v2
  - model: grimjim/llama-3-merge-pp-instruct-8B
  - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
  - model: grimjim/llama-3-merge-virt-req-8B
  - model: jeiku/Orthocopter_8B
  - model: grimjim/llama-3-nvidia-ChatQA-1.5-8B
  - model: flammenai/Mahou-1.0-llama3-8B
merge_method: model_stock
base_model: flammenai/Mahou-1.1-llama3-8B
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 70.27
AI2 Reasoning Challenge (25-Shot) 66.98
HellaSwag (10-Shot) 83.20
MMLU (5-Shot) 68.33
TruthfulQA (0-shot) 55.83
Winogrande (5-shot) 77.51
GSM8k (5-shot) 69.75