MiniCPM3-4B is a 4-billion-parameter language model hosted on Hugging Face under the openbmb organization. It belongs to the class of foundation models and is made available for download and use through the platform's model repository.
The repository page provides a chat template in Jinja2 format that defines how the model structures conversations. This template includes logic for converting JSON specifications into Python types, handling primitives such as string, number, integer, boolean, array, and object, along with support for enum, union, and fallback to Any. It also specifies special tokens including a beginning-of-sequence token, end-of-sequence token set to "<|im_end|", and an unknown token.
The model is delivered as a downloadable asset on Hugging Face, where users can access it alongside the platform's broader ecosystem of models, datasets, and inference tools. No pricing information appears on the page, consistent with the open nature of content hosted there. The surrounding Hugging Face interface references open source and open science as the overarching approach.
MiniCPM3 4B is a Foundation models & chat product. It focuses on deploying capable language models on resource-constrained devices or environments with limited compute. MiniCPM3 4B is an open-source project aimed at developers. The project is open source (Apache-2.0). The product ships for the web and the command line, and it can be self-hosted.
Behind MiniCPM3 4B is OpenBMB, and the product first shipped in 2024. The project is developed in the open on GitHub with 10k stars and 16 commits in the last 90 days. PulseGate's similarity index places it among 6 comparable tools. Among its 3 catalogued features are efficient inference, small footprint, and chat template.
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