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Mia-001 - bnb 4bits

• Model creator: https://huggingface.co/UnfilteredAI/
• Original model: https://huggingface.co/UnfilteredAI/Mia-001/

Original model description:

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: 0.0
      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