Tasks and inputs
Qwen/Qwen2-VL-7B-Instruct is listed for Image-text-to-text. It accepts image, text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
SyncDev model directory · Profile updated Oct 7, 2026
Hugging Face repository for Image-text-to-text.
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Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.
Accepts
Produces
Qwen/Qwen2-VL-7B-Instruct is a Hugging Face repository returned by the public Image-text-to-text task feed. Its recorded download count is 1,535,948 and it has 1,284 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.
This record is categorized for Image-text-to-text. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.
The public repository lists transformers as its library metadata. Its recorded tags include transformers, safetensors, qwen2_vl, image-text-to-text, multimodal, conversational, en, arxiv:2409.12191. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.
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Qwen/Qwen2-VL-7B-Instruct is listed for Image-text-to-text. It accepts image, text and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.
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