Sub-1B multilingual embedder; teacher for the F2LLM-v2 80M/160M/330M distilled siblings.
A workable 0.596B-parameter dense embedding model from CodeFuse-AI (Ant Group). Treat the modality benchmarks above as the leading indicator of fit — composite scoring across modalities is still maturing. Newly released, so production-readiness is still being shaken out.
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