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F2LLM-v2-14B

Fully open 14B multilingual embedding model covering 200+ languages.

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About

F2LLM-v2-14B is the largest model in CodeFuse's F2LLM-v2 family of multilingual text embedding models, described in arXiv 2603.19223. The family spans 8 sizes from 80M to 14B, trained on 60 million curated samples across more than 200 languages with emphasis on underserved mid- and low-resource languages, plus 40+ programming languages.

The project is notable for full transparency: weights, training data, training code, and intermediate checkpoints are all released under Apache 2.0. The family reports state-of-the-art MTEB results across Code, European, Scandinavian, Japanese, Vietnamese, Thai, Indic, and Persian tracks. The 14B instruct variant is the top performer in the family.

Specs

Context window

Pricing

Free quota

API access

Weights

Open weights

Released

March 1, 2026

Benchmarks

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

embeddingsmultilingual-nlpretrievalsemantic-search

Trust score — 8/10

/10 trustVerified

Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 128; Trending score 80/100 from researcher assessment.

Sources