Model comparison
all-mpnet-base-v2 vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
all-mpnet-base-v2
Not scored
value score
StarCoder2 15B
70
value score
all-mpnet-base-v2 ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | all-mpnet-base-v2 | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Sentence-similarity | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | all-mpnet-base-v2 is a sentence embedding model from the Sentence-Transformers project that encodes text into 768-dimensional dense vectors for semantic search, clustering, and similarity tasks. It is fine-tuned from microsoft/mpnet-base on one billion sentence pairs using a contrastive learning objective. | BigCode open coding model on Hugging Face. |