shibing624·released 2022-03-021 source
Not yet benchmarked
Claims drawn from cited facts, not live model generation.
Developed by shibing624 and released in 2022, this model is a compact 0.1-billion-parameter model, a scale that favors efficiency and lower cost over the headroom of larger systems.
3 cited facts
This model is not yet benchmarked, with no tracked benchmarks on record. Consequently, it holds no current top score.
2 cited facts
Its average gap to the state of the art is not disclosed, so no points-behind-the-leader reading can be offered for this model. What is on record is that it holds the top score on 0 benchmarks, which means no category leadership yet rather than a front-of-pack position.
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
macbert4csc-base-chinese is an AI model developed by shibing624, released 2022-03-02. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.