Qwen3-Coder is Qwen’s new series of coding agent models.
50K+
GGUF version by Unsloth
Open‑source agentic coding model optimized for long‑context, instruction‑following code generation and tooling.
Lightweight yet powerful coding assistant for repository‑scale tasks:
| Attribute | Details |
|---|---|
| Provider | Qwen / Alibaba |
| Architecture | MoE (Mixture of Experts, 30.5B total with ~3.3B active, 128 experts, 8 active) |
| Cutoff date | July 2025 (model released August 2025) |
| Languages | Multilingual; over 100 spoken and programming languages |
| Tool calling | Yes |
| Input modalities | Text (code + natural language) |
| Output modalities | Text (code + natural language) |
| License | Apache‑2.0 |
| Model variant | Parameters | Quantization | Context window | VRAM¹ | Size |
|---|---|---|---|---|---|
ai/qwen3-coder:30B-A3B-UD-Q4_K_XLai/qwen3-coder:latest | 30B-A3B | MOSTLY_Q4_K_M | 262K tokens | 17.52 GiB | 16.45 GB |
¹: VRAM estimated based on model characteristics.
latest→30B-A3B-UD-Q4_K_XL
First, pull the model:
docker model pull ai/qwen3-coder:30B-A3B-UD-Q4_K_XL
Then run the model:
docker model run ai/qwen3-coder:30B-A3B-UD-Q4_K_XL
For more information on Docker Model Runner, explore the documentation.
Content type
Model
Digest
sha256:8fdf3f084…
Size
16.5 GB
Last updated
2 days ago
docker model pull ai/qwen3-coder:30BPulls:
1,258
Last week