The fastest way to get this model running locally is via Docker.
Make sure to follow the instructions below.
The loader auto-caches the model archive (several GBs included).
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
The Qwen3-30B-A3B-Instruct-2507 is a large language model featuring 30β―billion parameters and an advanced A3B architecture designed for robust reasoning. It has been instructionβtuned on a diverse corpus of textual data, enabling it to follow complex user prompts with high fidelity. The model demonstrates stateβofβtheβart performance across multilingual benchmarks, handling over 100 languages with consistent accuracy. Its context window extends to 128β―k tokens, allowing deep comprehension of lengthy documents and extended dialogues. Integrated safety filters and a refined alignment pipeline ensure responsible output generation while preserving creative flexibility. Developers can leverage its openβsource nature to fineβtune the model for specialized domains, benefiting from its efficient inference characteristics.
| Spec | Value |
|---|---|
| Parameters | 30β―B |
| Context Length | 128β―k tokens |
| Training Data | Webβscale multilingual corpus |
| Architecture | A3B |
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