README.md

metadata

base_model:
  - FreedomIntelligence/HuatuoGPT-o1-8B
  - Skywork/Skywork-o1-Open-Llama-3.1-8B
library_name: transformers
pipeline_tag: text-generation
tags:
  - mergekit
  - merge
license: llama3.1
model-index:
  - name: HuatuoSkywork-o1-Llama-3.1-8B
    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: 39.61
            name: averaged accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-o1-Llama-3.1-8B
          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: 28.33
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-o1-Llama-3.1-8B
          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: 33.99
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-o1-Llama-3.1-8B
          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: 5.7
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-o1-Llama-3.1-8B
          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: 11.12
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-o1-Llama-3.1-8B
          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: 23.28
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=grimjim%2FHuatuoSkywork-o1-Llama-3.1-8B
          name: Open LLM Leaderboard

HuatuoSkywork-o1-Llama-3.1-8B

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

This is an experiment to see what happens when two o1-inspired models are merged.

Built with Llama.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

• FreedomIntelligence/HuatuoGPT-o1-8B
• Skywork/Skywork-o1-Open-Llama-3.1-8B

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Skywork/Skywork-o1-Open-Llama-3.1-8B
  - model: FreedomIntelligence/HuatuoGPT-o1-8B
merge_method: slerp
base_model: Skywork/Skywork-o1-Open-Llama-3.1-8B
parameters:
  t:
   - value: 0.5
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

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

Metric	Value (%)
Average	23.67
IFEval (0-Shot)	39.61
BBH (3-Shot)	28.33
MATH Lvl 5 (4-Shot)	33.99
GPQA (0-shot)	5.70
MuSR (0-shot)	11.12
MMLU-PRO (5-shot)	23.28