Model comparison
Qwen2.5-7B-Instruct vs StarCoder2 15B
Capability radar, value bars, and side-by-side posture.
Qwen2.5-7B-Instruct
Not scored
value score
StarCoder2 15B
70
value score
Qwen2.5-7B-Instruct ctx
—
StarCoder2 15B ctx
16K
Capability radar
Value · context · multimodal · openness · speed posture
Value head-to-head
- StarCoder2 15B70
Attribute tape
| Field | Qwen2.5-7B-Instruct | StarCoder2 15B |
|---|---|---|
| Developer | Hugging Face | Hugging Face |
| Context | — | 16K |
| Modalities | Text-generation | Text, Code |
| Openness | — | Open Weights |
| Speed | — | — |
| Price | — | — |
| Value score | — | 70 |
| Summary | Qwen2.5-7B-Instruct is a 7-billion-parameter instruction-tuned large language model developed by Alibaba Cloud's Qwen team, designed for general-purpose chat, coding, math, summarization, and multilingual tasks. It supports context windows up to 128K tokens and covers 29+ languages. | BigCode open coding model on Hugging Face. |