OpenBMB/MiniCPM

Health v2 · maintenance only

Adoption not part of the score

10250 stars · 693 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

MiniCPM is a family of small, state-of-the-art on-device language models from OpenBMB, with MiniCPM5-1B being a dense 1B Transformer for local and resource-constrained deployment. The repository provides model weights, deployment cookbooks, fine-tuning guides, and agent skills for major inference backends.

Use cases

• run a small LLM locally on-device
• deploy a 1B language model on resource-constrained hardware
• fine-tune a compact open-source LLM
• build an agent with local tool-use model
• hybrid reasoning chatbot that can toggle thinking mode
• efficient inference with million-token context

When to choose

• you need a powerful small LLM that runs on-device or offline
• you want open-source SOTA quality in the 1B size class
• you need both fast chat and deliberate reasoning from one checkpoint
• you want cookbooks for multiple inference and fine-tuning backends

When to avoid

• you need frontier-level reasoning only large models provide
• you want a hosted API rather than self-managed weights
• you need multimodal vision capabilities, which live in the separate MiniCPM-V repo

Facets

library · maturity active

llm-inference llm-training machine-learning agent-framework large-language-models artificial-intelligence python cross-platform self-hosted on-device-llm small-language-model hybrid-reasoning model-weights fine-tuning edge-deployment natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="OpenBMB/MiniCPM")