ai/qwen3-coder

Verified Publisher

By Docker

Updated 2 days ago

Qwen3-Coder is Qwen’s new series of coding agent models.

Model
16

50K+

ai/qwen3-coder repository overview

Qwen3‑Coder‑30B‑A3B‑Instruct

GGUF version by Unsloth

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Open‑source agentic coding model optimized for long‑context, instruction‑following code generation and tooling.

Intended uses

Lightweight yet powerful coding assistant for repository‑scale tasks:

  • Agentic coding workflows: Automate multi‑step code tasks with platform integrations (e.g. Qwen Code, CLINE).
  • Browser‑use scenarios: Drive agentic browser interactions for search, scraping, or UI automation.
  • Large code context comprehension: Handle repository‑scale files with native support up to 256K token context (extendable to ~1M via Yarn).

Characteristics

AttributeDetails
ProviderQwen / Alibaba
ArchitectureMoE (Mixture of Experts, 30.5B total with ~3.3B active, 128 experts, 8 active)
Cutoff dateJuly 2025 (model released August 2025)
LanguagesMultilingual; over 100 spoken and programming languages
Tool callingYes
Input modalitiesText (code + natural language)
Output modalitiesText (code + natural language)
LicenseApache‑2.0

Available model variants

Model variantParametersQuantizationContext windowVRAM¹Size
ai/qwen3-coder:30B-A3B-UD-Q4_K_XL

ai/qwen3-coder:latest
30B-A3BMOSTLY_Q4_K_M262K tokens17.52 GiB16.45 GB

¹: VRAM estimated based on model characteristics.

latest30B-A3B-UD-Q4_K_XL

Use this AI model with Docker Model Runner

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.

Tag summary

Content type

Model

Digest

sha256:8fdf3f084

Size

16.5 GB

Last updated

2 days ago

docker model pull ai/qwen3-coder:30B

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