README.md

metadata

language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - merge
  - mergekit
  - mistral
  - roleplay
  - MTSAIR/multi_verse_model
  - ResplendentAI/Paradigm_7B
base_model:
  - MTSAIR/multi_verse_model
  - ResplendentAI/Paradigm_7B
model-index:
  - name: Multiparadigm_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: 73.21
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 88.95
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 64.28
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 76.87
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 83.82
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_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: 69.37
            name: accuracy
        source:
          url: >-
            https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Multiparadigm_7B
          name: Open LLM Leaderboard

🌠 Multiparadigm_7B

Multiparadigm_7B is a merge of the following models:

• MTSAIR/multi_verse_model
• ResplendentAI/Paradigm_7B

Quantizations

Thanks to mradermacher, static GGUF quants are available here.

Configuration

slices:
  - sources:
      - model: MTSAIR/multi_verse_model
        layer_range: [0, 32]
      - model: ResplendentAI/Paradigm_7B
        layer_range: [0, 32]
merge_method: slerp
base_model: MTSAIR/multi_verse_model
parameters:
  t:
    - filter: self_attn
      value: [0, 0.6, 0.3, 0.7, 1]
    - filter: mlp
      value: [1, 0.6, 0.7, 0.3, 0]
    - value: 0.6
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	76.08
AI2 Reasoning Challenge (25-Shot)	73.21
HellaSwag (10-Shot)	88.95
MMLU (5-Shot)	64.28
TruthfulQA (0-shot)	76.87
Winogrande (5-shot)	83.82
GSM8k (5-shot)	69.37