Deploying this model locally is quickest when done via a simple curl command.
Make sure you implement the steps mentioned below.
The process automatically pulls down gigabytes of critical model assets.
The initial setup handles the heavy lifting, fine-tuning the environment for your device.
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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