README.md

metadata

license: other
library_name: transformers
tags:
  - mergekit
  - merge
base_model:
  - Test157t/West-Pasta-Lake-7b
  - Test157t/Lelantacles6-Experiment26-7B
model-index:
  - name: Prima-LelantaclesV6-7b
    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: 71.5
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Prima-LelantaclesV6-7b
          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: 87.65
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Prima-LelantaclesV6-7b
          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: 64.64
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Prima-LelantaclesV6-7b
          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: 64.29
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Prima-LelantaclesV6-7b
          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: 84.85
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Prima-LelantaclesV6-7b
          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: 67.55
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Test157t/Prima-LelantaclesV6-7b
          name: Open LLM Leaderboard

Thanks to @Lewdiculous for the imatrix quants: https://huggingface.co/Lewdiculous/Prima-LelantaclesV6-7b-GGUF-IQ-Imatrix

This model was merged using the DARE TIES

Models Merged

The following models were included in the merge:

• Test157t/West-Pasta-Lake-7b + Test157t/Lelantacles6-Experiment26-7B

Configuration

The following YAML configuration was used to produce this model:

merge_method: dare_ties
base_model: Test157t/Lelantacles6-Experiment26-7B
parameters:
  normalize: true
models:
  - model: Test157t/West-Pasta-Lake-7b
    parameters:
      weight: 1
  - model: Test157t/Lelantacles6-Experiment26-7B
    parameters:
      weight: 1
dtype: float16

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	73.41
AI2 Reasoning Challenge (25-Shot)	71.50
HellaSwag (10-Shot)	87.65
MMLU (5-Shot)	64.64
TruthfulQA (0-shot)	64.29
Winogrande (5-shot)	84.85
GSM8k (5-shot)	67.55