MN-12B-Inferor-v0.1 / README.md
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metadata
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
  - Fizzarolli/MN-12b-Sunrose
  - anthracite-org/magnum-v4-12b
  - mistralai/Mistral-Nemo-Instruct-2407
model-index:
  - name: MN-12B-Inferor-v0.1
    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: 63.47
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
          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: 30.85
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
          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: 11.78
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
          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: 10.07
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
          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: 15.05
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
          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: 29.58
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Svak/MN-12B-Inferor-v0.1
          name: Open LLM Leaderboard

inferor 0.1

Another iteration of inferor but with different base model

image/png

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 mistralai/Mistral-Nemo-Instruct-2407 as a base.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

base_model: mistralai/Mistral-Nemo-Instruct-2407
dtype: bfloat16
merge_method: model_stock
slices:
- sources:
  - layer_range: [0, 40]
    model: Fizzarolli/MN-12b-Sunrose
  - layer_range: [0, 40]
    model: nbeerbower/Mistral-Nemo-Gutenberg-Doppel-12B-v2
  - layer_range: [0, 40]
    model: anthracite-org/magnum-v4-12b
  - layer_range: [0, 40]
    model: mistralai/Mistral-Nemo-Instruct-2407

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric Value
Avg. 26.80
IFEval (0-Shot) 63.47
BBH (3-Shot) 30.85
MATH Lvl 5 (4-Shot) 11.78
GPQA (0-shot) 10.07
MuSR (0-shot) 15.05
MMLU-PRO (5-shot) 29.58