README.md

metadata

language:
  - en
license: cc-by-nc-4.0
tags:
  - Math
  - merge
datasets:
  - meta-math/MetaMathQA
pipeline_tag: text-generation
base_model:
  - Q-bert/MetaMath-Cybertron-Starling
  - fblgit/juanako-7b-UNA
model-index:
  - name: Merged-AGI-7B
    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: 68.6
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Q-bert/Merged-AGI-7B
          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: 86.16
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Q-bert/Merged-AGI-7B
          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: 65.02
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Q-bert/Merged-AGI-7B
          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: 60.24
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Q-bert/Merged-AGI-7B
          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: 80.66
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Q-bert/Merged-AGI-7B
          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: 63.38
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Q-bert/Merged-AGI-7B
          name: Open LLM Leaderboard

Merged-AGI-7B

Merge Q-bert/MetaMath-Cybertron-Starling and fblgit/juanako-7b-UNA using slerp merge.

You can use ChatML format.

Open LLM Leaderboard Evaluation Results

Detailed results can be found Coming soon

Metric	Value
Avg.	Coming soon
ARC (25-shot)	Coming soon
HellaSwag (10-shot)	Coming soon
MMLU (5-shot)	Coming soon
TruthfulQA (0-shot)	Coming soon
Winogrande (5-shot)	Coming soon
GSM8K (5-shot)	Coming soon

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	70.68
AI2 Reasoning Challenge (25-Shot)	68.60
HellaSwag (10-Shot)	86.16
MMLU (5-Shot)	65.02
TruthfulQA (0-shot)	60.24
Winogrande (5-shot)	80.66
GSM8k (5-shot)	63.38