README.md

metadata

license: other
tags:
  - Mia
  - MysteriousAI
datasets:
  - OEvortex/uncensored-vortex
metrics:
  - accuracy
  - character
pipeline_tag: text-generation
model-index:
  - name: Mia-001
    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: 22.78
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-001
          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: 28.02
            name: normalized accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-001
          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: 23.66
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-001
          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: 48.25
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-001
          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: 51.62
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-001
          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: 0
            name: accuracy
        source:
          url: >-
            https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=MysteriousAI/Mia-001
          name: Open LLM Leaderboard

Model Name: Mia-001

Model Type: Text Generation

Description: Mia-001 is an uncensored AI text generation model developed by MysteriousAI, aimed at advancing and democratizing artificial intelligence through open source and open science initiatives. The model is designed to push the boundaries of creativity and innovation in natural language generation tasks.

Key Features:

• Uncensored Text Generation: Mia-001 generates text without censorship, allowing users to explore a wide range of applications without limitations.
• Model Size: Mia-001 has 110 million parameters, providing a balance between model complexity and efficiency.
• Tensor Type: The model uses FP16 tensor type for efficient computation.
• Inference Endpoints: Mia-001 can be loaded on Inference API for serverless deployment, enabling easy integration into applications.

Use Cases:

• Content Generation: Mia-001 can be used for generating diverse content, including articles, stories, dialogues, and more.
• Creative Writing: Writers and artists can leverage Mia-001 to explore new ideas and narrative structures in their creative works.
• Chatbots and Conversational Agents: The model can power chatbots and conversational agents with natural and engaging dialogue generation capabilities.
• AI-driven Applications: Mia-001 enables the development of AI-driven applications in areas such as virtual assistants.

Ethical Considerations:

• Content Moderation: Users are advised to exercise caution and responsibility when Using Mia-001 in applications involving sensitive or potentially harmful content.
• Bias and Fairness: MysteriousAI is committed to addressing biases and promoting fairness in AI models, and ongoing efforts are made to mitigate any biases present in Mia-001.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here

Metric	Value
Avg.	29.05
AI2 Reasoning Challenge (25-Shot)	22.78
HellaSwag (10-Shot)	28.02
MMLU (5-Shot)	23.66
TruthfulQA (0-shot)	48.25
Winogrande (5-shot)	51.62
GSM8k (5-shot)	0.00