Using the Windows Package Manager is the quickest way to trigger the setup.
Please follow the instructions listed below to get started.
The installer automatically pulls the model (could be multiple GBs).
Your resources are automatically evaluated to lock in the premium configuration.
The Qwen3.6-35B-A3B-NVFP4 model represents a significant leap in large language model efficiency, combining 35 billion parameters with an innovative A3B architecture that optimizes both performance and computational cost. By leveraging NVFP4 quantization, the model achieves unprecedented memory savings while maintaining high accuracy across a wide range of NLP tasks. It supports an extended context window of up to 128 K tokens, enabling deeper understanding of long documents and complex reasoning chains. Benchmarks show that the model delivers state‑of‑the‑art results in multilingual generation, code synthesis, and reasoning, all with significantly lower inference latency compared to previous 35 B‑parameter models. The accompanying
| Parameters | 35 B |
| Context Length | 128 K tokens |
| Quantization | NVFP4 |
| Architecture | A3B |
- Setup utility configuring high-speed semantic index models for local RAG matrices
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- Installer configuring multi-node clusters for distributed model running
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- Setup utility resolving cyclical python package dependencies across AI framework trees
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