MiniCPM Text Series

The MiniCPM text series is a family of high-performance language models built for on-device deployment, with parameter sizes ranging from 0.5B to 9B.

Series overview

The MiniCPM text series keeps evolving around efficient on-device inference, long context and agent capabilities. It currently includes MiniCPM5, MiniCPM-SALA and MiniCPM4 / 4.1.

MiniCPM5 A new generation of compact agent models that combine long context, Think / No Think hybrid reasoning and tool calling.

MiniCPM-SALA Built for million-token ultra-long context. It uses hybrid sparse and linear attention, with a focus on optimizing long-sequence inference efficiency.

MiniCPM4 / 4.1 Covers on-device deployment at 0.5B and 8B, with sparse attention, hybrid reasoning and on-device generation acceleration.

Model	Parameters	Context	Highlights
MiniCPM5-2B	2B	128K	Strong performance on code, math, long text, tool calling and agent tasks
MiniCPM5-1B	1B	128K	Hybrid Think/No Think reasoning, tool calling
MiniCPM-SALA	9B	1M	Hybrid sparse + linear attention
MiniCPM4.1-8B	8B	128K	Sparse attention, hybrid reasoning
MiniCPM4-8B	8B	128K	5x on-device generation speedup
MiniCPM4-0.5B	0.5B	128K	Ultra-lightweight on-device model

Recommended choices

Use case	Recommended model	Why
Local assistants, coding agents, tool calling	MiniCPM5-2B, MiniCPM5-1B	Compact 1B scale; the same weights support Think / No Think, with native 128K context and tool-calling capability.
Million-token documents, ultra-long text analysis	MiniCPM-SALA	Supports up to 1M context; hybrid sparse and linear attention is well suited to ultra-long-sequence inference.
8B-class deep reasoning and long-text tasks	MiniCPM4.1-8B	Supports sparse attention and hybrid thinking, letting you switch flexibly between reasoning quality and runtime efficiency.
Mature general-purpose on-device deployment	MiniCPM4-8B	128K context with on-device generation acceleration, and support for many mainstream inference frameworks.
Severely resource-constrained, ultra-lightweight applications	MiniCPM4-0.5B	The smallest model in the series, suited to scenarios where storage, memory and compute costs come first.

Quick advice: If you're unsure, start with MiniCPM5-2B and MiniCPM5-1B; choose MiniCPM-SALA if you need million-token context; choose MiniCPM4.1-8B if you need stronger 8B-class capability.

See the sub-pages for detailed deployment and fine-tuning guides.

Related Resources

Topic	Link
Code repository and release notes	OpenBMB/MiniCPM
MiniCPM5-2B model weights	Hugging Face / ModelScope
MiniCPM5-1B model weights	Hugging Face / ModelScope
MiniCPM-SALA model weights	Hugging Face / ModelScope
Model documentation	MiniCPM5-2B / MiniCPM5-1B / MiniCPM-SALA / MiniCPM4.1 / MiniCPM4
Agent Skills	Deployment and fine-tuning skills
Online demo	MiniCPM5-2B Demo
Technical reports	MiniCPM4 / MiniCPM-SALA
Text model technical community group	Join the MiniCPM text model community