Model card
GTE-Qwen2-7B-instruct.
Alibabaopen-source7B paramsQwen2-7B (LLM-based embedding)
Rank #1 on MTEB English + Chinese as of June 2024.
§ 01 · Benchmarks
Every benchmark GTE-Qwen2-7B-instruct has a recorded score for.
| # | Benchmark | Area · Task | Metric | Value | Rank | Date | Source |
|---|---|---|---|---|---|---|---|
| 01 | STS Benchmark | Natural Language Processing · Semantic Textual Similarity | spearman | 88.4% | #1 | — | source ↗ |
| 02 | BEIR | Natural Language Processing · Text Ranking | ndcg@10 | 60.3% | #2 | — | source ↗ |
| 03 | MTEB Leaderboard | Natural Language Processing · Feature Extraction | avg-score | 72.0% | #2 | — | source ↗ |
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.
§ 02 · Strengths by area
Where GTE-Qwen2-7B-instruct actually performs.
§ 04 · Related models
Other Alibaba models scored on Codesota.
§ 05 · Sources & freshness
Where these numbers come from.
arxiv
3
results
3 of 3 rows marked verified.