Compact models·EASYHUB JOURNAL
MiniCPM5-2B opens weights and training data for local agents
What changed
MiniCPM5-2B releases weights, intermediate checkpoints and training datasets alongside GGUF and MLX deployment options for local assistants and tool use. Its full parameter count is about 2.52 billion, including roughly 1.98 billion non-embedding parameters. The 2B-class name should not be confused with the complete parameter total.
- Original title
- MiniCPM5-2B
- Source
- OpenBMB / 面壁智能 · github.com
- Topic
- Compact models
- Source month
- 2026-09
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Summary page published · Editorial information