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  • Zero-Click Run Qwen3.5-122B-A10B Locally (No Cloud) One-Click Setup Step-by-Step

Zero-Click Run Qwen3.5-122B-A10B Locally (No Cloud) One-Click Setup Step-by-Step

Zero-Click Run Qwen3.5-122B-A10B Locally (No Cloud) One-Click Setup Step-by-Step

by Viktor Jan / Friday, 10 July 2026 / Published in Finetunes

Zero-Click Run Qwen3.5-122B-A10B Locally (No Cloud) One-Click Setup Step-by-Step

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

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

The setup file includes a feature that instantly optimizes all configurations.

🖹 HASH-SUM: 58011513b65eb6b6e4f6eaea5c14b0e6 | 📅 Updated on: 2026-07-03



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 48 GB needed to prevent memory swapping to disk
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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