Qwen3.5-122B-A10B-FP8 One-Click Setup 5-Minute Setup

Qwen3.5-122B-A10B-FP8 One-Click Setup 5-Minute Setup

Deploying this model locally is quickest when done via a simple curl command.

Just follow the guidelines provided below.

The installer auto-downloads and deploys the entire model pack.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📤 Release Hash: 68182055fd0a9a28cea8d3eb1918e462 • 📅 Date: 2026-07-04



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

The Qwen3.5-122B-A10B-FP8 model delivers unprecedented performance for large language tasks with its massive 122 billion parameters and optimized A10B architecture.

Built with FP8 precision, the model achieves a balance between computational efficiency and accuracy, reducing memory footprint while maintaining high fidelity outputs.

Benchmarks across diverse NLP tasks show that the model outperforms previous generations by a significant margin, especially in reasoning and code generation.

Its inference latency is notably low on modern GPUs, enabling real‑time applications without sacrificing quality.

The model also supports multimodal inputs, allowing seamless integration with text, images, and audio for comprehensive AI solutions.

Specification Value
Parameters 122 B
Precision FP8
Architecture A10B
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