Setup Qwen3.5-122B-A10B No-Internet Version No-Code Guide

To install this model locally in the shortest time, opt for Docker.

Follow the step-by-step instructions below.

No manual effort needed; the setup auto-ingests the large data.

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

🔒 Hash checksum: 86247de448937e6f820eae564ed68836 • 📆 Last updated: 2026-06-28 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: enough space for background apps and OS overhead Disk Space: 100 GB for multi-modal model vision components 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.

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