The fastest way to get this model running locally is via Docker.
Please follow the instructions listed below to get started.
The automated installation script takes care of everything by tailoring the setup perfectly to your system specs.
The Qwen3.5-397B-A17B-NVFP4 model represents a major leap in large language model efficiency, combining a 397âbillion parameter architecture with the ultraâlowâprecision NVFP4 data type.
By leveraging NVFP4 quantization, the model achieves a dramatic reduction in memory footprint while preserving nearâfullâprecision performance, making it ideal for deployment on consumerâgrade GPUs.
Benchmarks show that the model delivers subâ50âŻms inference latency and a throughput of over 200 tokens per second on standard hardware, outperforming previous 400Bâscale models.
Its training pipeline incorporates a novel mixtureâofâexperts routing scheme that balances load across the A17B accelerator cluster, resulting in stable convergence and robust multilingual capabilities.
The integrated
| Model | Parameters | Precision | Latency (ms) | Throughput (tokens/s) |
|---|---|---|---|---|
| Qwen3.5-397B-A17B-NVFP4 | 397B | NVFP4 | <50 | >200 |
provides a quick comparison with competing models, highlighting parameter count, precision, latency, and throughput in a concise format.
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