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

Please follow the instructions listed below to get started.

1-click setup: the app automatically fetches the large weight files.

During setup, the script automatically determines and applies the best settings tailored to your machine.

🖹 HASH-SUM: f864581bbdf4d068973c8dc704002d73 | 📅 Updated on: 2026-06-22 Processor: high single-core performance needed for token latency RAM: required: 16 GB absolute minimum for small models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum required for basic quantization

The Qwen3.5-35B-A3B is a next‑generation language model that combines massive scale with advanced reasoning capabilities. It features 35 billion parameters and a context window of up to 128 k tokens, enabling it to understand and generate long, complex texts with remarkable coherence. Trained on a diverse corpus that includes scientific papers, technical documentation, and creative writing, the model demonstrates exceptional versatility across domains such as code generation, data analysis, and natural language understanding. Its architecture introduces an optimized A3B attention mechanism that reduces computational overhead while preserving high fidelity in output, making it suitable for both cloud‑based and edge deployments. In benchmark evaluations, the model consistently outperforms prior models in reasoning tasks, achieving state‑of‑the‑art results without sacrificing latency or memory usage.

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• Setup utility configuring persistent system prompts for local clients
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• Installer automating ChatRTX model library installation and indexing
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