Qwen2.5 Coder 7B Instruct
Qwen · released 2024-09-17 · apache-2.0 license
Qwen2.5-Coder-7B-Instruct is a code-specialized 7B model (Apache-2.0) with vendor LiveCodeBench 48.7, strong on pure code generation but weaker on general reasoning.
Key specs
| Type | Local open-weight |
|---|---|
| Parameters | 7.62B total |
| Architecture | qwen2 |
| Context window | 33K tokens |
| Knowledge cutoff | — |
| Modalities | text |
| Recommended backends | — |
| Minimum viable rig | — |
Benchmark scores
| GPQA Diamond | — |
|---|---|
| SWE-bench Verified | — |
| AIME | — |
| MMLU-Pro | — |
| BFCL v3 (tool use) | — |
| Composite score | — |
| Community rating | No reviews yet |
VRAM & disk per quantization
| Quant | VRAM | Disk | RAM | Context |
|---|---|---|---|---|
| Q4_K_M | 5.9 GB | 4.4 GB | — | 33K |
Strengths & weaknesses
Strengths: Strong code generation for 7B (HumanEval ~88); Small enough for local/on-device use; Apache-2.0
Weaknesses: Weaker general reasoning than same-size general models; Limited agentic/SWE-bench results