Qwen3.5-122B-A10B-FP8 Using Pinokio

Qwen3.5-122B-A10B-FP8 Using Pinokio

For the fastest local setup of this model, enabling Windows Features is best.

Please adhere to the deployment steps listed below.

The loader auto-caches the model archive (several GBs included).

The configuration wizard runs silently to set up the model for peak performance.

🛡️ Checksum: 69e9e5807de295faacd78dcfdfc31745 — ⏰ Updated on: 2026-07-02



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Storage: extra room for future model updates and datasets
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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