README.md

metadata

license: apache-2.0
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - S-miguel/The-Trinity-Coder-7B
  - macadeliccc/WestLake-7B-v2-laser-truthy-dpo
  - mistralai/Mistral-7B-v0.1
  - bobofrut/ladybird-base-7B-v8
model-index:
  - name: threebird-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: 72.44
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-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: 87.82
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-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: 65.02
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-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: 67.61
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-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=Lambent/threebird-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: 71.72
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Lambent/threebird-7B
          name: Open LLM Leaderboard

threebird

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 mistralai/Mistral-7B-v0.1 as a base.

Models Merged

The following models were included in the merge:

• S-miguel/The-Trinity-Coder-7B
• macadeliccc/WestLake-7B-v2-laser-truthy-dpo
• bobofrut/ladybird-base-7B-v8

Configuration

The following YAML configuration was used to produce this model:

models:
  - model: bobofrut/ladybird-base-7B-v8
    parameters:
      density: 1.0
      weight: 1.0
  - model: S-miguel/The-Trinity-Coder-7B
    parameters:
      density: 1.0
      weight: 1.0
  - model: macadeliccc/WestLake-7B-v2-laser-truthy-dpo
    parameters:
      density: 1.0
      weight: 1.0
base_model: mistralai/Mistral-7B-v0.1
merge_method: ties
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.92
AI2 Reasoning Challenge (25-Shot)	72.44
HellaSwag (10-Shot)	87.82
MMLU (5-Shot)	65.02
TruthfulQA (0-shot)	67.61
Winogrande (5-shot)	84.93
GSM8k (5-shot)	71.72