Docker offers the quickest path to setting up this model locally.
Please follow the instructions listed below to get started.
The client handles the setup, pulling gigabytes of data automatically.
There is no manual tuning required; the builder will automatically deploy the best matching configuration.
The Qwen3.5-35B-A3B-GPTQ-Int4 is a large language model delivering advanced reasoning and multilingual capabilities. Built on the A3B architecture, it leverages a 35‑billion parameter foundation to achieve high performance across diverse tasks. By employing GPTQ Int4 quantization, the model maintains a compact footprint while preserving much of its original accuracy. State‑of‑the‑art inference efficiency is realized through optimized kernel implementations and reduced memory bandwidth requirements. The following table summarizes key technical specifications for quick reference.
| Specification | Value |
|---|---|
| Model Name | Qwen3.5-35B-A3B-GPTQ-Int4 |
| Parameters | 35 B |
| Quantization | GPTQ Int4 |
| Architecture | A3B |
| Context Length | 8192 tokens |
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