Run Qwen3.5-122B-A10B-FP8 No-Internet Version

For an instant local deployment, running a pre-configured shell script is ideal.

Follow the sequence of steps detailed below.

The download manager will automatically pull several gigabytes of data.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

🔗 SHA sum: 0ed9fc0e1c1b5f0aa325a796fb8d07ae | Updated: 2026-07-01
  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

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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