Qwen3.5-35B-A3B

The fastest way to get this model running locally is via Docker.

Refer to the instructions below to proceed.

Next, run the Docker command to spin up the container.

🛡️ Checksum: aa9643d3af1a44022516aed2ad003d6f — ⏰ Updated on: 2026-06-23 Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization

The Qwen3.5-35B-A3B is a next‑generation language model that combines massive scale with advanced reasoning capabilities. It features 35 billion parameters and a context window of up to 128 k tokens, enabling it to understand and generate long, complex texts with remarkable coherence. Trained on a diverse corpus that includes scientific papers, technical documentation, and creative writing, the model demonstrates exceptional versatility across domains such as code generation, data analysis, and natural language understanding. Its architecture introduces an optimized A3B attention mechanism that reduces computational overhead while preserving high fidelity in output, making it suitable for both cloud‑based and edge deployments. In benchmark evaluations, the model consistently outperforms prior models in reasoning tasks, achieving state‑of‑the‑art results without sacrificing latency or memory usage.

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