Qwen/Qwen2.5-VL-3B-Instruct-AWQ
image-text-to-text model by Qwen
From the publisher
Model card & documentation
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licensename: qwen-research licenselink: https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct-AWQ/blob/main/LICENSE language: pipelinetag: image-text-to-text tags: libraryname: transformers basemodel: In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on building more useful vision-language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5-VL. We extend dynamic resolution to the temporal dimension by adopting dynamic FPS sampling, enabling the model to comprehend videos at various sampling rates. Accordingly, we update mRoPE in the time dimension with IDs and absolute time alignment, enabling the model to learn temporal sequence and speed, and ultimately acquire the ability to pinpoint specific moments. We enhance both training and inference speeds by strategically implementing window attention into the ViT. The ViT architecture is further optimized with SwiGLU and RMSNorm, aligning it with the structure of the Qwen2.5 LLM. We…
Read the full model card ↗ · Preview checked 2026-10-29T03:25:48.262Z
Inside the original model card — Document outline
- - Qwen/Qwen2.5-VL-3B-Instruct
- Qwen2.5-VL-3B-Instruct-AWQ
- Introduction
- Key Enhancements:
- Model Architecture Updates:
- Evaluation
- Requirements
- Quickstart
- Using 🤗 Transformers to Chat
- 🤖 ModelScope
- More Usage Tips
- Image Resolution for performance boost
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Model overview
Qwen/Qwen2.5-VL-3B-Instruct-AWQ is a image-text-to-text model repository published by Qwen on Hugging Face. The source reports the transformers library.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- transformers
- Recent downloads (30 days)
- 870,931
- Cumulative likes
- 78
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 3,754,622,976
- Architecture
- Qwen2_5_VLForConditionalGeneration
- License
- Not reported — check the model card
- Access
- Not gated by Hugging Face
- Created
- 2025-02-13T09:23:42.000Z
- Last modified
- 2025-04-06T16:24:35.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen2.5-VL-3B-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 2026-11-01T06:51:30.840Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.