MiniCPM5-2B-GGUF

MiniCPM5-2B-GGUF

Gives you MiniCPM5-2B, a small dense text model for English and Chinese, as GGUF files for on-device and local use. Suits people who want a compact model for coding, math and tool use on modest hardware.

Made by openbmb on Hugging Face. These notes are Mindket's, written from its model page and model card; the model's own files and license are on Hugging Face.

About

What it is: This repository holds GGUF files of MiniCPM5-2B, which follows MiniCPM5-1B in the MiniCPM5 line. It is a dense 2B Transformer built for on-device and local use, and for setups with limited resources.

The card says it competes with 4B-class models overall and does better than models of similar size in coding, math, long-context understanding, tool use and agent tasks. Treat those as the maker's claims.

Who it suits: It suits people who want a small text model that runs on their own computer, in English or Chinese, without a hosted service.

Industry | Who uses it | How they use it | Example
Software | Developers | Run a local assistant for code and tool calls | Ask for a short function offline
Education | Students | Practice math and coding questions on a laptop | Work through a math problem
Local AI | Enthusiasts | Chat with a compact model on modest hardware | Try a Chinese prompt
Edge projects | Device builders | Test a small model for on-device use | Check how it runs on a small machine

If you need the largest possible model or an image or audio model, you can skip it.

Where to use it: You fetch the files on Windows, macOS or Linux with Python, then load them in a program that reads GGUF files.

• A Windows, macOS or Linux computer
• A GGUF-capable program on your own machine
• Low-memory setups, since the 4-bit size is estimated at about 1.3 GB

Use case | Who | What they get back
Local chat | Anyone | Text replies in English or Chinese
Code and math help | Developers and students | Drafts and worked answers
Tool use and agents | Builders | Text output for agent tasks

How to set it up: You need Python with pip to fetch the files and a program that can load GGUF files. The files are small enough for ordinary laptops, with a 4-bit copy estimated at about 1.3 GB.

• Python with pip
• A program that loads GGUF files
• About 1.3 GB of free disk space for a 4-bit file

1. Install the Hugging Face hub package.
2. Download the repository files.
3. Load a GGUF file in your chosen program.

pip install -U huggingface_hub
hf download openbmb/MiniCPM5-2B-GGUF

How to use it: Once the file is loaded, you type a prompt and read the text it writes back. The page does not list a run command, so follow the instructions of the program you load it in.

Example: You ask the model a short question in Chinese or English, such as a small coding task. It answers with text, and for longer tasks you keep the chat going turn by turn.

For newcomers and experts: If you are new, start with one short question in the language you prefer and see how quickly it answers on your machine. Smaller files run on less memory.

If you know the field, this is a dense 2B Transformer from the MiniCPM5 line, scaled from the same training recipe as MiniCPM5-1B. Its GGUF quantization trades some accuracy for a much smaller file.

Download the GGUF files
Load one in a GGUF program
Send a prompt in English or Chinese
Read the text reply

Good to know: The card points to a tech report, a wiki and an online demo for details. The page itself gives few run steps, so check the program you use for settings.

• License: apache-2.0
• Cost to run: none named
• Data it reaches: files you download, and the prompts you type

On Hugging Face, 13 November 2026

• Task: text generation
• Library: llama.cpp
• Parameters: 2.5B
• Weights: about 1.3 GB at 4-bit (estimate)
• Formats: GGUF
• Downloads in the last 30 days: 481,119
• Likes: 393
• License: apache-2.0
• Languages: en, zh
• Quantized versions: 2
• Tags: llama.cpp, gguf, minicpm, minicpm5, llama, text-generation, long-context, tool-calling, on-device, edge-ai, conversational

Links

• Model: https://huggingface.co/openbmb/MiniCPM5-2B-GGUF
• Files: https://huggingface.co/openbmb/MiniCPM5-2B-GGUF/tree/main

Get the model

Download its files with Hugging Face's command line:

pip install -U huggingface_hub
hf download openbmb/MiniCPM5-2B-GGUF

Then follow the usage in its model card. Nothing in this kit runs by itself.