openbmb·released 2026-09-051 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by openbmb, this model is a compact 2.52-billion-parameter release from 2026, a scale that favors efficiency and lower cost over the greater headroom of larger models.
3 cited facts
This model is not yet benchmarked, as it is scored on zero tracked benchmarks. It holds no current top score, with a leader count of zero.
2 cited facts
The average SOTA gap is unknown, and the model holds the top score on none of its benchmarks (sota leader count of 0), which means there is no genuine category leadership to point to yet.
2 cited facts
2 facts cross-checked across data sources: 2 single-source.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models
MiniCPM5-2B-MLX is an AI model developed by openbmb, released 2026-09-05. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.