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" alt="How to Deploy Qwen3.6-27B-NVFP4 Using Pinokio with Native FP4 5-Minute Setup" style="display:block; width:100%; height:auto; border-radius:8px;">
Homebrew offers the quickest path to setting up this model locally.
Follow the sequence of steps detailed below.
Everything happens automatically, including the heavy cloud asset download.
The deployment tool scans your environment and chooses the ideal parameters.
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📦 Hash-sum → cf404ca8dc9e7dde84987c4ba0aabf63 | 📌 Updated on 2026-07-12
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Groundbreaking Advancements in Large Language Models
The Qwen3.6-27B-NVFP4 model represents a significant breakthrough in large language models, combining a 27-billion parameter architecture with the highly efficient NVFP4 quantization format. This configuration enables sub-byte precision while maintaining high fidelity in both reasoning and generation tasks, reducing memory footprint and accelerating inference on consumer-grade hardware. Benchmarks show that the model delivers competitive performance against larger counterparts, often achieving comparable accuracy with a fraction of the computational cost. The design incorporates advanced attention mechanisms and a refined token-wise routing strategy, allowing it to handle complex multi-step problems with improved coherence.
Technical Specifications at a Glance
- Parameters: 27B
- Precision: NVFP4 (4-bit)
- Context Length: 8K tokens
Key Features
* Advanced attention mechanisms for improved coherence* Refined token-wise routing strategy for efficient processing* Sub-byte precision without sacrificing accuracy
Benefits for Developers
• High-performance AI solutions with scalable efficiency• Competitive performance against larger models• Accelerated inference on consumer-grade hardware
Technical Insights
| Feature | Description |
| Advanced Attention Mechanisms | Improves coherence and context understanding |
| Refined Token-Wise Routing Strategy | Enhances efficient processing and computation |
Conclusion
The Qwen3.6-27B-NVFP4 model offers a compelling blend of scale and efficiency for developers seeking high-performance AI solutions, enabling sub-byte precision while maintaining high fidelity in both reasoning and generation tasks.
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