Model comparison
XLM-RoBERTa Base vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
XLM-RoBERTa Base
Not scored
value score
StarCoder2 15B
70
value score
XLM-RoBERTa Base ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | XLM-RoBERTa Base | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Fill-mask | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | XLM-RoBERTa Base is a multilingual transformer encoder pretrained on 2.5TB of filtered CommonCrawl text across 100 languages using masked language modeling. It is designed for fine-tuning on cross-lingual understanding tasks such as text classification, named-entity recognition, and question answering. | BigCode open coding model on Hugging Face. |