Codesota · Models · F2LLM-v2-330M1 results · 1 benchmarks
Model card

F2LLM-v2-330M.

unknown
§ 02 · Benchmarks

Every benchmark F2LLM-v2-330M has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01MTEB LeaderboardNatural Language Processing · Feature Extractionmteb-score68.9%#30/38source ↗
Rank column shows this model’s position vs all other models scored on the same benchmark + metric (competitors after the slash). #1 in red means current SOTA. Sorted by rank, then newest result.
§ 03 · Strengths by area

Where F2LLM-v2-330M actually performs.

Natural Language Processing
1
benchmark
avg rank #30.0
§ 04 · Papers

1 paper with results for F2LLM-v2-330M.

  1. 2026-03-19· 1 result

    F2LLM-v2: Inclusive, Performant, and Efficient Embeddings for a Multilingual World

§ 06 · Sources & freshness

Where these numbers come from.

pwc-dump
1
result
0 of 1 rows marked verified.