Qwen3.5-122B-A10B Locally via LM Studio Zero Config



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




Make sure to follow the instructions below.




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




The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.



📊 File Hash: 932027b746b2feeed789369f7aacc870 — Last update: 2026-06-26


  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space:70 GB free space for full FP16 weights storage
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats
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.
ParameterValue
Model NameQwen3.5-122B-A10B
Parameters122 B
ArchitectureA10B
Training DataWeb‑scale corpus
Key FeaturesAdvanced attention, multi‑layer decoder
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