Model comparison
Qwen2.5-1.5B-Instruct vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
Qwen2.5-1.5B-Instruct
Not scored
value score
StarCoder2 15B
70
value score
Qwen2.5-1.5B-Instruct ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | Qwen2.5-1.5B-Instruct | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Text-generation | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | Qwen2.5-1.5B-Instruct is a compact 1.54-billion-parameter instruction-tuned language model from Alibaba's Qwen team, designed for general-purpose text generation, multilingual conversation, coding, and math tasks. It supports structured outputs and a 128K-token context window, making it well-suited for lightweight assistant and developer workflows. | BigCode open coding model on Hugging Face. |