The most rapid route to a local installation of this model is through Docker.
Follow the step-by-step instructions below.
After that, launch the environment using docker-compose.
The Qwen3.6-35B-A3B-NVFP4 model represents a significant leap in large language model efficiency, combining 35鈥痓illion 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鈥疜 tokens, enabling deeper understanding of long documents and complex reasoning chains. Benchmarks show that the model delivers state鈥憃f鈥憈he鈥慳rt results in multilingual generation, code synthesis, and reasoning, all with significantly lower inference latency compared to previous 35鈥疊鈥憄arameter models. The accompanying
| Parameters | 35鈥疊 |
| Context Length | 128鈥疜 tokens |
| Quantization | NVFP4 |
| Architecture | A3B |
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