openbmb/MiniCPM5-1B · Hugging Face

MiniCPM Tech Report | MiniCPM Wiki(Chinese) | GitHub Repo | UltraData | MiniCPM Desk Pet | Online Demo We are releasing MiniCPM5-1B, the first model in the MiniCPM5 series. It is a dense 1B Transformer built for on-device, local deployment, and resource-constrained scenarios, reaching 1B-class open-source SOTA. 🏆 1B-class open-source SOTA: compared with strong open-source models in the same size class, MiniCPM5-1B reaches SOTA within this comparison set. Its advantage is most visible in agentic tool use, code generation, and difficult reasoning. 🧠 Hybrid Reasoning: built-in <think> chat template, switch via enable_thinking. The same checkpoint serves as both a fast assistant and a deliberate reasoner. 🛠️ Deployment / Fine-tuning Resources: the MiniCPM GitHub repo provides single-page cookbooks and Agent Skills for major inference backends and fine-tuning frameworks. 🐱 Desktop Pet: a local-LLM desktop pet driven by MiniCPM5-1B. Use this directory to choose the model format that matches your runtime: MiniCPM5-1B · ModelScope · BF16 final release (post-trained with RL + OPD) 👈 you are here MiniCPM5-1B-SFT · ModelScope · BF16 SFT-only checkpoint (before RL / OPD) MiniCPM5-1B-Base · ModelScope · BF16 base checkpoint (pre-training only) MiniCPM5-1B-GGUF · ModelScope · GGUF for llama.cpp / Ollama / LM Studio MiniCPM5-1B-MLX · ModelScope · MLX / 4bit for Apple Silicon MiniCPM5-1B has the following features: Type: Causal Language Model Architecture: Standard LlamaForCausalLM Number of Parameters: 1,080,632,832 Number of Non-Embedding Parameters: 679,552,512 Number of Attention Heads (GQA): 16 for Q and 2 for KV MiniCPM5-1B is the first checkpoint in the MiniCPM5 series. It is designed for local assistants, coding agents, tool-use workflows, and reasoning scenarios where a compact model is preferred. The model keeps a small deployment footprint while providing native long-context support and both Think / No Think chat modes through the same checkpoint. We compare MiniCPM5-1B with strong open-source models in the same size class, including LFM2.5-1.2B-Thinking, Qwen3-0.6B/think and Qwen3.5-0.8B/think. These are capable baselines; within this comparison set, MiniCPM5-1B reaches 1B-class open-source SOTA, with its advantage most visible in tool use, code generation, and difficult reasoning. This makes it a practical choice for local coding agents, tool assistants,…