README.md

metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
  - Spestly/Athena-1-7B
  - huihui-ai/Qwen2.5-7B-Instruct-abliterated
model-index:
  - name: Minerva-7b
    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: 37.24
            name: strict accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-7b
          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: 36.08
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-7b
          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: 25.15
            name: exact match
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-7b
          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: 9.73
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-7b
          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: 9.29
            name: acc_norm
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-7b
          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: 38.27
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Triangle104/Minerva-7b
          name: Open LLM Leaderboard

Merge

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

Merge Details

Quant: https://huggingface.co/Triangle104/Minerva-7b-Q4_K_M-GGUF

Merge Method

This model was merged using the TIES merge method using Spestly/Athena-1-7B as a base.

Models Merged

The following models were included in the merge:

• EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
• huihui-ai/Qwen2.5-7B-Instruct-abliterated

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: Spestly/Athena-1-7B
    #no parameters necessary for base model
  - model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
    parameters:
      density: 0.5
      weight: 0.5
  - model: huihui-ai/Qwen2.5-7B-Instruct-abliterated
    parameters:
      density: 0.5
      weight: 0.5

merge_method: ties
base_model: Spestly/Athena-1-7B
parameters:
  normalize: false
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	25.96
IFEval (0-Shot)	37.24
BBH (3-Shot)	36.08
MATH Lvl 5 (4-Shot)	25.15
GPQA (0-shot)	9.73
MuSR (0-shot)	9.29
MMLU-PRO (5-shot)	38.27