README.md

metadata

license: apache-2.0
tags:
  - merge
model-index:
  - name: GML-Mistral-merged-v1
    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: 71.25
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zyh3826/GML-Mistral-merged-v1
          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: 87.88
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zyh3826/GML-Mistral-merged-v1
          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: 65.42
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zyh3826/GML-Mistral-merged-v1
          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: 69.28
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zyh3826/GML-Mistral-merged-v1
          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: 80.98
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zyh3826/GML-Mistral-merged-v1
          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: 64.97
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=zyh3826/GML-Mistral-merged-v1
          name: Open LLM Leaderboard

merge from quantum-v0.01 and mistral-7b-dpo-v5

The yaml config file for this model is here:

slices:
  - sources:
    - model: quantumaikr/quantum-v0.01
      layer_range: [0, 32]
  - sources:
    - model: mncai/mistral-7b-dpo-v5
      layer_range: [24, 32]
merge_method: passthrough
dtype: bfloat16

Acknowlegement

mergekit

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	73.30
AI2 Reasoning Challenge (25-Shot)	71.25
HellaSwag (10-Shot)	87.88
MMLU (5-Shot)	65.42
TruthfulQA (0-shot)	69.28
Winogrande (5-shot)	80.98
GSM8k (5-shot)	64.97