nvidia/Qwen2.5-VL-7B-Instruct-NVFP4
text-generation model by nvidia
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Model card & documentation
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The NVIDIA Qwen2.5-VL-7B-Instruct-FP4 model is the quantized version of Alibaba's Qwen2.5-VL-7B-Instruct model, which is an auto-regressive language model that uses an optimized transformer architecture. For more information, please check here. The NVIDIA Qwen2.5-VL-7B-Instruct-FP4 model is quantized with TensorRT Model Optimizer. This model is ready for commercial/non-commercial use. This model is not owned or developed by NVIDIA. It was developed and built to a third party’s requirements for this application and use case. See the Non-NVIDIA (Qwen2.5-VL-7B-Instruct) Model Card. Use of this model is governed by nvidia-open-model-license ADDITIONAL INFORMATION: Apache 2.0. Global, except in European Union Developers looking to take off the shelf pre-quantized models for deployment in AI Agent systems, chatbots, RAG systems, and other AI-powered applications. Huggingface 08/22/2025 via https://huggingface.co/nvidia/Qwen2.5-VL-7B-Instruct-FP4 Architecture Type: Transformers Network Architecture: Qwen2.5-VL-7B This model was developed based on Qwen2.5-VL-7B Number of model parameters 710^9 Input Type(s): Multilingual text, and images Input Format(s): String, Images Input…
Read the full model card ↗ · Preview checked 2026-09-30T06:55:17.038Z
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Model overview
nvidia/Qwen2.5-VL-7B-Instruct-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)
- 913,807
- Cumulative likes
- 16
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 5,029,522,432
- Architecture
- Qwen2_5_VLForConditionalGeneration
- License
- other
- Access
- Not gated by Hugging Face
- Created
- 2025-09-10T03:04:44.000Z
- Last modified
- 2025-12-06T00:51:49.000Z
Compatibility and lineage
Language coverage was not reported.
Reported base models: Qwen/Qwen2.5-VL-7B-Instruct
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 2026-09-30T06:39:13.322Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.
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