Codesota · Models · NV-Embed-v11 results · 1 benchmarks
Model card

NV-Embed-v1.

unknown
§ 02 · Benchmarks

Every benchmark NV-Embed-v1 has a recorded score for.

#BenchmarkArea · TaskMetricValueRankDateSource
01MTEB LeaderboardNatural Language Processing · Feature Extractionmteb-score68.3%#31/38source ↗
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 NV-Embed-v1 actually performs.

Natural Language Processing
1
benchmark
avg rank #31.0
§ 04 · Papers

1 paper with results for NV-Embed-v1.

  1. 2024-05-27· 1 result

    NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

§ 06 · Sources & freshness

Where these numbers come from.

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