README.md

metadata

language:
  - en
license: cc-by-nc-sa-4.0
tags:
  - merge
  - slerp
model-index:
  - name: CarbonVillain-en-10.7B-v2
    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: 71.25
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v2
          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: 88.4
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v2
          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: 66.31
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v2
          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: 71.94
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v2
          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: 83.35
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v2
          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: 65.28
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=jeonsworld/CarbonVillain-en-10.7B-v2
          name: Open LLM Leaderboard

CarbonVillain

This is a model created without learning to oppose indiscriminate carbon emissions.

This model is an experimental version created using mergekit.

• merge models
  • Weyaxi/SauerkrautLM-UNA-SOLAR-Instruct
  • kyujinpy/Sakura-SOLAR-Instruct
• method: slerp

Prompt Template(s)

### User:
{user}

### Assistant:
{asistant}

Evaluation

Detailed results can be found here

Metric	Value
Avg.	74.42
ARC (25-shot)	71.25
HellaSwag (10-shot)	88.4
MMLU (5-shot)	66.31
TruthfulQA (0-shot)	71.94
Winogrande (5-shot)	83.35
GSM8K (5-shot)	65.28

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	74.42
AI2 Reasoning Challenge (25-Shot)	71.25
HellaSwag (10-Shot)	88.40
MMLU (5-Shot)	66.31
TruthfulQA (0-shot)	71.94
Winogrande (5-shot)	83.35
GSM8k (5-shot)	65.28