To install this model locally in the shortest time, opt for a direct curl execution.
Use the instructions provided below to complete the setup.
The setup auto-downloads all needed files (several GBs).
The smart installation system will instantly find the perfect configuration.
📤 Release Hash: 07fa14aee4556409fa533b57aa9e4e36 • 📅 Date: 2026-07-04
- Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
- RAM: enough space for background apps and OS overhead
- Disk: 150+ GB for high-context vector database storage
- GPU: high memory bandwidth GPU for next-gen local AI pipeline
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The Qwen3.6-35B-A3B is a large language model featuring 35 billion parameters and an advanced A3B architecture designed for superior reasoning and instruction following. It supports an extended context window of 128K tokens, enabling the model to understand and generate long‑form content with high coherence. Trained on a diverse corpus of web‑scale text and curated academic resources, the model demonstrates state‑of‑the‑art performance across a wide range of benchmarks, from language understanding to code generation. The model also incorporates multimodal capabilities, allowing it to process and generate text alongside images, which expands its utility in creative and analytical tasks. In practical applications, Qwen3.6-35B-A3B excels in complex problem solving, delivering accurate answers while maintaining low latency and efficient memory usage, as shown in the following technical overview.
| Parameters |
35 B |
| Context Length |
128K tokens |
| Training Data |
Web‑scale + academic corpora |
| Peak FLOPs |
≈2.1×10^20 |
| Model Type |
Autoregressive transformer with A3B blocks |
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