How to Deploy Qwen3.5-122B-A10B on Copilot+ PC Uncensored Edition Easy Build

How to Deploy Qwen3.5-122B-A10B on Copilot+ PC Uncensored Edition Easy Build

The fastest way to get this model running locally is via Optional Features.

Simply follow the directions outlined below.

The installer automatically pulls the model (could be multiple GBs).

To guarantee smooth performance, the process auto-selects the best options.

📎 HASH: 651f7934716d796c6f59f4ef3aba4d56 | Updated: 2026-07-04



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: 32 GB or higher for smooth 32k context lengths
  • Disk Space: at least 100 GB for multiple local LLM variants
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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