Qwen/Qwen2.5-VL-32B-Instruct-AWQ
image-text-to-text model by Qwen
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Model card & documentation
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In addition to the original formula, we have further enhanced Qwen2.5-VL-32B's mathematical and problem-solving abilities through reinforcement learning. This has also significantly improved the model's subjective user experience, with response styles adjusted to better align with human preferences. Particularly for objective queries such as mathematics, logical reasoning, and knowledge-based Q&A, the level of detail in responses and the clarity of formatting have been noticeably enhanced. 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…
Read the full model card ↗ · Preview checked 2026-10-30T13:34:31.313Z
Inside the original model card — Document outline
- Qwen2.5-VL-32B-Instruct-AWQ
- Latest Updates:
- 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-32B-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)
- 685,745
- Cumulative likes
- 65
- Hugging Face trending score
- 0
- Reported safetensors parameters
- 33,452,718,336
- Architecture
- Qwen2_5_VLForConditionalGeneration
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2025-03-26T12:20:48.000Z
- Last modified
- 2025-04-06T16:25:43.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen2.5-VL-32B-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 2026-09-25T06:37:41.536Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.