Qwen3.6-35B-A3B Using Pinokio One-Click Setup

Deploying this model locally is quickest when done via a simple curl command.

Carefully read and apply the steps described below.

The download manager will automatically pull several gigabytes of data.

The program scans your VRAM and RAM to seamlessly apply optimal configurations.

📎 HASH: a554e814603e636e78e88c0d8908257b | Updated: 2026-06-28



  • Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk: high-speed SSD 120 GB to cache model layers
  • GPU: modern architecture (Ada Lovelace / Ampere minimum)

The Qwen3.6-35B-A3B is a large language model featuring 35 billion parameters and an advanced A3B architecture designed for superior reasoning and instruction following. It supports an extended context window of 128K tokens, enabling the model to understand and generate long‑form content with high coherence. Trained on a diverse corpus of web‑scale text and curated academic resources, the model demonstrates state‑of‑the‑art performance across a wide range of benchmarks, from language understanding to code generation. The model also incorporates multimodal capabilities, allowing it to process and generate text alongside images, which expands its utility in creative and analytical tasks. In practical applications, Qwen3.6-35B-A3B excels in complex problem solving, delivering accurate answers while maintaining low latency and efficient memory usage, as shown in the following technical overview.

Parameters 35 B
Context Length 128K tokens
Training Data Web‑scale + academic corpora
Peak FLOPs ≈2.1×10^20
Model Type Autoregressive transformer with A3B blocks

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