Run Qwen3.5-35B-A3B-FP8 on AMD/Nvidia GPU

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

Make sure to follow the instructions below.

1-click setup: the app automatically fetches the large weight files.

Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.

🛡️ Checksum: a51882f41489339bf67a2b68a83a4185 — ⏰ Updated on: 2026-06-27 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: high-speed DDR5 memory preferred for CPU offloading Disk: high-speed SSD 120 GB to cache model layers Graphics: CUDA Compute Capability 8.0+ required for flash-attention

The **Qwen3.5-35B-A3B-FP8** model represents a significant leap in large language capabilities, combining an expansive 35‑billion parameter base with an advanced A3B architecture optimized for both speed and accuracy. It leverages *FP8* quantization to deliver high‑precision inference while maintaining a compact memory footprint, making it suitable for deployment on modern GPU clusters. The model excels in multilingual tasks, achieving *state‑of‑the‑art* results on benchmarks ranging from code generation to conversational AI across more than 50 languages. Its training pipeline incorporates a novel *mixture‑of‑experts* routing scheme that dynamically allocates computational resources, resulting in faster convergence and reduced training costs. With built‑in safety filters and a transparent evaluation framework, **Qwen3.5-35B-A3B-FP8** ensures reliable and responsible outputs for enterprise and research applications.

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