README.md

metadata

license: cc-by-nc-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - mlabonne/AlphaMonarch-7B
  - bardsai/jaskier-7b-dpo-v5.6
  - CultriX/NeuralTrix-7B-dpo
model-index:
  - name: TriFusionNexus-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: 72.78
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BuckeyBarnes/TriFusionNexus-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: 89.17
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BuckeyBarnes/TriFusionNexus-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: 64.44
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BuckeyBarnes/TriFusionNexus-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: 78.13
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BuckeyBarnes/TriFusionNexus-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: 84.93
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BuckeyBarnes/TriFusionNexus-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: 68.46
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=BuckeyBarnes/TriFusionNexus-7b
          name: Open LLM Leaderboard

TriFusionNexus-7b

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

Merge Details

Merge Method

This model was merged using the TIES merge method using CultriX/NeuralTrix-7B-dpo as a base.

Models Merged

The following models were included in the merge:

• mlabonne/AlphaMonarch-7B
• bardsai/jaskier-7b-dpo-v5.6

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: CultriX/NeuralTrix-7B-dpo  # no parameters necessary for base model
  - model: mlabonne/AlphaMonarch-7B
    parameters:
      density: 0.5  # fraction of weights in differences from the base model to retain
      weight:   # weight gradient
        - filter: mlp
          value: 0.5
        - value: 0
  - model: bardsai/jaskier-7b-dpo-v5.6
    parameters:
      density: 0.5
      weight: 0.5
merge_method: ties
base_model: CultriX/NeuralTrix-7B-dpo
parameters:
  normalize: true
  int8_mask: true
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	76.32
AI2 Reasoning Challenge (25-Shot)	72.78
HellaSwag (10-Shot)	89.17
MMLU (5-Shot)	64.44
TruthfulQA (0-shot)	78.13
Winogrande (5-shot)	84.93
GSM8k (5-shot)	68.46