28 Juin. 2026
The fastest way to get this model running locally is via Docker.
Make sure to follow the instructions below.
After cloning, fire up the application using Docker.
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 |
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