MAP-NEO

MAP-NEO: A Fully Open-Sourced Large Language Model

MAP-NEO is a cutting-edge bilingual Large Language Model (LLM) developed as part of the multimodal-art-projection project. This model is designed to achieve high performance in various challenging tasks, including reasoning, mathematics, and coding, demonstrating capabilities comparable to proprietary models of larger size.

Key Features:

• Open Source: Fully accessible model providing transparency in training and results.
• Comprehensive Data: Trained on 4.5T English and Chinese tokens.
• Performance: Comparable performance to LLaMA2 7B, offering robust results in multiple benchmarks.
• Resources Provided: Includes pre-training data, scripts, and alignment code for thorough research and application development.
• Commercial Compatibility: Licensed under MIT License, allowing for commercial utilization under specified terms.

Benefits:

• Diverse Range of Applications: Supports researchers in both academic and commercial settings.
• Transparent Processes: Offers detailed insights into the model's development and training methodology, fostering trust and reproducibility.
• Community Contribution: Encourages collaboration and input from users to enhance future efforts.