paraphrase-multilingual-mpnet-base-v2 vs gte-large
Specs, VRAM requirements and download trends — updated 21 September 2026.
sentence-transformers · A
Params
280 M
Context
512
30d
9.9 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | paraphrase-multilingual-mpnet-base-v2 | gte-large |
|---|---|---|
| Parameters | 280 M | 340 M |
| Architecture | XLMRobertaModel | BertModel |
| Context length | 512 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 50 | 1 |
| Downloads 30d | 9,948,737 | 615,900 |
| Downloads all time | 133.8 M | 30.0 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2023-07-27 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
11.6 M616 K
paraphrase-multilingual-mpnet-base-v2
gte-large
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
gte-large · fp16
1.3 GB / 24 GB
paraphrase-multilingual-mpnet-base-v2 · fp16
1.8 GB / 24 GB
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all-MiniLM-L6-v2 vs paraphrase-multilingual-mpnet-base-v2
all-mpnet-base-v2 vs paraphrase-multilingual-mpnet-base-v2
paraphrase-multilingual-mpnet-base-v2 vs multilingual-e5-base
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