Qwen3.5-122B-A10B with Native FP4 Local Guide

Deploying locally takes the least amount of time when executed through native OS tools.

Use the instructions provided below to complete the setup.

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

There is no manual tuning required; the builder deploys the best matching configuration.

🔒 Hash checksum: 1ae820d7358034465801d823f99a0ea8 • 📆 Last updated: 2026-06-29
  • Processor: 6-core 3.5 GHz minimum required
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space:70 GB free space for full FP16 weights storage
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

Qwen3.5-122B-A10B is a state‑of‑the‑art language model featuring 122 billion parameters and an A10B architecture. It leverages a massive web‑scale training corpus to achieve exceptional performance across a wide range of NLP tasks. The model incorporates advanced attention mechanisms and multi‑layer decoder stacks that enable deep contextual understanding and fluent generation. Benchmark evaluations place it among the top performers, delivering record‑breaking scores in reasoning, comprehension, and code synthesis. Its efficient A10B design balances computational demands with high‑quality output, making it suitable for both research and production environments. Ongoing fine‑tuning initiatives allow developers to customize the model for specialized domains while preserving its core capabilities.

Parameter Value
Model Name Qwen3.5-122B-A10B
Parameters 122 B
Architecture A10B
Training Data Web‑scale corpus
Key Features Advanced attention, multi‑layer decoder
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