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 |
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Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard22.780
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard28.020
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard23.660
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard48.250
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard51.620
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000