README.md

metadata

language:
  - en
license: apache-2.0
library_name: transformers
tags:
  - rmdhirr/Foxglove_7B
  - ResplendentAI/Paradigm_Shift_7B
  - merge
  - mergekit
  - roleplay
  - mistral
base_model:
  - rmdhirr/Foxglove_7B
  - ResplendentAI/Paradigm_Shift_7B
model-index:
  - name: Anthesis_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: 69.03
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 86.2
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 62.06
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 68.65
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 78.93
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_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: 42.99
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=rmdhirr/Anthesis_7B
          name: Open LLM Leaderboard

🏵️ Anthesis_7B

Anthesis_7B is a merge of the following models:

• rmdhirr/Foxglove_7B
• ResplendentAI/Paradigm_Shift_7B

Formatting/Preset

Alpaca works best, but Mistral gives good outputs as well.

Configuration

models:
  - model: ResplendentAI/Paradigm_Shift_7B
    # no parameters necessary for base model
  - model: rmdhirr/Foxglove_7B
    parameters:
      density: 0.60
      weight: 0.40
merge_method: dare_ties
base_model: ResplendentAI/Paradigm_Shift_7B
parameters:
  int8_mask: true
dtype: bfloat16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.97
AI2 Reasoning Challenge (25-Shot)	69.03
HellaSwag (10-Shot)	86.20
MMLU (5-Shot)	62.06
TruthfulQA (0-shot)	68.65
Winogrande (5-shot)	78.93
GSM8k (5-shot)	42.99