README.md

metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - netcat420/MFANN3bv0.3
  - netcat420/MFANN3bv0.7
  - liminerity/Phigments12
  - netcat420/MFANN3bv0.6
model-index:
  - name: MFANN3bv0.7.10
    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: 62.12
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=netcat420/MFANN3bv0.7.10
          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: 77.08
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=netcat420/MFANN3bv0.7.10
          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: 56.33
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=netcat420/MFANN3bv0.7.10
          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: 53.27
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=netcat420/MFANN3bv0.7.10
          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: 76.64
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=netcat420/MFANN3bv0.7.10
          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: 57.54
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=netcat420/MFANN3bv0.7.10
          name: Open LLM Leaderboard

MFANN3bv0.7.10

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 liminerity/Phigments12 as a base.

Models Merged

The following models were included in the merge:

• netcat420/MFANN3bv0.3
• netcat420/MFANN3bv0.7
• netcat420/MFANN3bv0.6

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: netcat420/MFANN3bv0.6
    parameters:
      density: [1, 0.7, 0.1] # density gradient
      weight: 1.0
  - model: netcat420/MFANN3bv0.3
    parameters:
      density: 0.5
      weight: [0, 0.3, 0.7, 1] # weight gradient
  - model: netcat420/MFANN3bv0.7
    parameters:
      density: 0.33
      weight:
        - filter: mlp
          value: 0.5
        - value: 0
merge_method: ties
base_model: liminerity/Phigments12
parameters:
  normalize: true
  int8_mask: true
dtype: float16

System prompt

### System:
### thought-process:

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	63.83
AI2 Reasoning Challenge (25-Shot)	62.12
HellaSwag (10-Shot)	77.08
MMLU (5-Shot)	56.33
TruthfulQA (0-shot)	53.27
Winogrande (5-shot)	76.64
GSM8k (5-shot)	57.54