nvidia/Qwen3.6-27B-NVFP4
text-generation model by nvidia
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Model card & documentation
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The NVIDIA Qwen3.6-27B NVFP4 model is the quantized version of Alibaba's Qwen3.6-27B model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Qwen3.6-27B NVFP4 model is quantized with Model Optimizer. This model is ready for commercial or non-commercial use. GOVERNING DOWNLOAD TERMS: Use of the model is governed by the Apache 2.0 Global Developers looking to take off-the-shelf, pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications. Hugging Face 06/26/2026 via https://huggingface.co/nvidia/Qwen3.6-27B-NVFP4 NVIDIA Model Optimizer: https://github.com/NVIDIA/Model-Optimizer Architecture Type: Transformers Network Architecture: Hybrid Attention (Gated DeltaNet and Gated Attention) Number of Model Parameters: 27B Input Type(s): Text, Image, Video Input Format(s): String, Red, Green, Blue (RGB), Video (MP4/WebM) Input Parameters: One-Dimensional (1D), Two-Dimensional (2D), Three-Dimensional (3D) Other Properties Related to Input: Context length up to 262K Output Type(s): Text Output Format: String Output Parameters:…
Read the full model card ↗ · Preview checked 2026-10-31T05:47:13.442Z
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Model overview
nvidia/Qwen3.6-27B-NVFP4 is a text-generation model repository published by nvidia on Hugging Face. The source reports the Model Optimizer library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-generation
- Library
- Model Optimizer
- Recent downloads (30 days)
- 783,182
- Cumulative likes
- 446
- Hugging Face trending score
- 1
- Reported safetensors parameters
- 18,164,649,200
- Architecture
- Qwen3_5ForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-06-22T12:24:08.000Z
- Last modified
- 2026-06-30T14:40:07.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen3.6-27B
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-26T06:48:03.871Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.