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

Original model description:

• 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

• 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.

• 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.

• 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