bge-base-en-v1.5-course-recommender-v5 vs sarashina-embedding-v1-1b
Specs, VRAM requirements and download trends — updated 7 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-base-en-v1.5-course-recommender-v5 | sarashina-embedding-v1-1b |
|---|---|---|
| Parameters | 110 M | 1.2 B |
| Architecture | BertModel | LlamaModel |
| Context length | 512 | 8,192 |
| Licence | — | — |
| Commercial use | Unknown | Unknown |
| Languages | — | 2 |
| Downloads 30d | 4,087,057 | 413,104 |
| Downloads all time | 13.3 M | 548 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2025-01-09 | 2024-11-22 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
4.3 M408 K
bge-base-en-v1.5-course-recommender-v5
sarashina-embedding-v1-1b
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
bge-base-en-v1.5-course-recommender-v5 · fp16
1.0 GB / 24 GB
sarashina-embedding-v1-1b · fp16
6.1 GB / 24 GB
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