MiniCPM3-4B
MiniCPM3-4B offers superior performance in natural language processing, supporting multilingual tasks and complex functions with a vast context window.
English
English
What is MiniCPM3-4B?
MiniCPM3-4B is part of the MiniCPM series and represents the third generation of this technology. It outperforms models like Phi-3.5-mini-Instruct and GPT-3.5-Turbo-0125, performing comparably to several recent 7B to 9B models. This version offers enhanced versatility with support for function calls and code interpreters, making it suitable for a wide range of applications.
Key Features:
Supports both Chinese and English language generation.
Customizable models for dialogue scenarios.
Capable of handling up to 32k context length.
Uses LLMxMapReduce technology to optimize memory usage.
Performs well on multiple benchmarks including MMLU, BBH, and MT-Bench.
Target Audience:
Researchers, developers, and enterprise users who need efficient language models will find MiniCPM3-4B valuable. Whether you are working on natural language processing research or developing applications that require intelligent dialogue and text generation, this model can provide robust support.
Usage Scenarios:
Researchers can use MiniCPM3-4B for advanced natural language understanding studies.
Developers can integrate it into smart customer service systems.
Enterprises can enhance their products by integrating this model to improve user experience.
Getting Started:
1. Download the MiniCPM3-4B model from Hugging Face.
2. Install necessary dependencies such as Transformers and PyTorch.
3. Use AutoTokenizer for text preprocessing.
4. Load the model with appropriate parameters, including device and data type settings.
5. Prepare input data and call the model's generation functions.
6. Obtain the generated text and perform any required post-processing.
