Model comparison
multilingual-e5-small vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
multilingual-e5-small
Not scored
value score
StarCoder2 15B
70
value score
multilingual-e5-small ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | multilingual-e5-small | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Sentence-similarity | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | multilingual-e5-small is a compact, open-weight text-embedding model that encodes text in 100+ languages into 384-dimensional vectors for semantic search, retrieval, clustering, and similarity scoring. It is the smallest and fastest member of the intfloat multilingual E5 family, trading some retrieval accuracy for significantly lower latency and memory footprint. | BigCode open coding model on Hugging Face. |