README.md

metadata

license: llama3.1
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - allenai/Llama-3.1-Tulu-3.1-8B
  - huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated
  - meditsolutions/Llama-3.1-MedIT-SUN-8B
model-index:
  - name: Llama_3.1_8b_Smarteaz_0.2_R1
    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: 63.46
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1
          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: 30.7
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1
          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: 26.06
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1
          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: 6.71
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1
          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: 12.32
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1
          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: 29.39
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Nexesenex/Llama_3.1_8b_Smarteaz_0.2_R1
          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 Model Stock merge method using huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated as a base.

Models Merged

The following models were included in the merge:

• allenai/Llama-3.1-Tulu-3.1-8B
• meditsolutions/Llama-3.1-MedIT-SUN-8B

Configuration

The following YAML configuration was used to produce this model:

merge_method: model_stock
models:
  - model: meditsolutions/Llama-3.1-MedIT-SUN-8B
    parameters:
      weight: 1.0
  - model: allenai/Llama-3.1-Tulu-3.1-8B
    parameters:
      weight: 1.0
base_model: huihui-ai/DeepSeek-R1-Distill-Llama-8B-abliterated
dtype: bfloat16
normalize: true

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	28.11
IFEval (0-Shot)	63.46
BBH (3-Shot)	30.70
MATH Lvl 5 (4-Shot)	26.06
GPQA (0-shot)	6.71
MuSR (0-shot)	12.32
MMLU-PRO (5-shot)	29.39