MiniCPM-2B

MiniCPM is an End-Side Large Language Model (LLM) developed by ModelBest Inc. and TsinghuaNLP, featuring 2.4B parameters, excluding embeddings. It offers high performance, particularly excelling in Chinese, Mathematics, and Coding tasks after SFT, and surpassing other models like Llama2-13B and Mistral-7B-Instruct-v0.1 after DPO.

Key Features:

1️⃣ High Performance: MiniCPM demonstrates exceptional capabilities in various tasks, especially Chinese, Mathematics, and Coding, surpassing benchmarks like Llama2-13B and Mistral-7B-Instruct-v0.1 after SFT and DPO.

2️⃣ Efficient Deployment: MiniCPM can be deployed and perform inference on smartphones, with streaming output speed surpassing human verbal speed. It offers both parameter-efficient and full-parameter fine-tuning options, requiring minimal hardware resources for development.

3️⃣ Cost-effective and Open Access: The development cost based on MiniCPM is low, facilitating parameter-efficient finetuning with standard GPUs. Moreover, all model parameters are released for research and limited commercial use, with plans to release training checkpoints and public training data for further research.

Use Cases:

1. Smartphone Applications: MiniCPM enables the development of efficient smartphone applications for various tasks, including language modeling and multimodal inference, providing users with quick and accurate responses.

2. Academic Research: Researchers can leverage MiniCPM for various academic purposes, thanks to its high performance and open-access nature, facilitating studies in natural language processing and multimodal learning.

3. Cost-effective Development: Startups and small businesses can benefit from MiniCPM's cost-effective development approach, enabling them to harness the power of large language models for various applications without heavy infrastructure investments.

Conclusion:

MiniCPM stands out as a powerful yet accessible End-Side Large Language Model, offering high performance, efficient deployment on smartphones, and cost-effective development options. With its strong performance across diverse tasks and open-access model parameters, MiniCPM presents significant potential for various industries and academic research, promising impactful advancements in natural language processing and multimodal learning.