README.md

metadata

license: apache-2.0
tags:
  - uncensored
model-index:
  - name: Mistral-CatMacaroni-slerp-uncensored
    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: 64.25
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
          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: 84.09
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
          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: 62.66
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
          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: 56.87
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
          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: 79.72
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
          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: 56.1
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=diffnamehard/Mistral-CatMacaroni-slerp-uncensored
          name: Open LLM Leaderboard

This is an experimental model.

Finetuned on dataset toxic-dpo-v0.1-NoWarning-alpaca using model Mistral-CatMacaroni-slerp-7B

Metric	Value
Avg.	67.28
ARC (25-shot)	64.25
HellaSwag (10-shot)	84.09
MMLU (5-shot)	62.66
TruthfulQA (0-shot)	56.87
Winogrande (5-shot)	79.72
GSM8K (5-shot)	56.1

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	67.28
AI2 Reasoning Challenge (25-Shot)	64.25
HellaSwag (10-Shot)	84.09
MMLU (5-Shot)	62.66
TruthfulQA (0-shot)	56.87
Winogrande (5-shot)	79.72
GSM8k (5-shot)	56.10