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Qwen2.5-VL 7B Instruct (HF)

MultimodalUnavailable
by Alibaba (Qwen)Model ID: qwen2-5-vl-7b-instruct-hf

Alibaba Qwen2.5-VL 7B via Hugging Face Inference. Open-weights image-text-to-text model with improved OCR, chart and table reading, object grounding and long-document understanding.

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Status
Unavailable
Context
32,768 tokens
Max. output
4,096 tokens
Input → output
Text + Image → Text
Developer
Alibaba (Qwen)
Updated
23 September 2026

Qwen2.5-VL 7B Instruct (HF) is currently unavailable

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Playground

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Input & output

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0 / 16,000

Question about the image

Image URL to analyze

Output
The answer appears here.

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About Qwen2.5-VL 7B Instruct (HF)

TL;DRAs of 23 September 2026

Qwen2.5-VL 7B Instruct (HF) is a model by Alibaba (Qwen) in the Multimodal category. Qwen2.5-VL 7B Instruct (HF) is currently not available on Railwail. The context window holds 32,768 tokens, and one response can be up to 4,096 tokens long.

Qwen2.5-VL 7B Instruct is the 2.5 generation of Alibaba's vision-language family, accessed through the Hugging Face serverless image-text-to-text pipeline. Compared with Qwen2-VL it improves OCR across languages, chart and table parsing, visual grounding with bounding boxes, and understanding of long documents and longer videos. Suitable for document extraction, UI understanding and image-grounded chat where open weights are required.
04

Pricing

Currently unavailable. There is no price for this model at the moment, so it cannot be run.

05

API

Call Qwen2.5-VL 7B Instruct (HF) with your Railwail API key. Use this model ID in the request:
qwen2-5-vl-7b-instruct-hfAPI documentationGet an API key

No verified API example

The public API passes a different input format than this model needs. Use the playground above.

06

Specifications

Model ID
qwen2-5-vl-7b-instruct-hf
Developer
Alibaba (Qwen)
Category
Multimodal
Input
Text, Image
Output
Text
Context window
32,768 tokens
Max. output
4,096 tokens
Catalog entry updated
23 September 2026

Input parameters

Inputs and settings from the model's input schema. The example in the API section shows which of them the API accepts.

  • promptrequired

    Question about the image

    Type: Text
    Default: –
    Allowed values: up to 16,000 characters
  • image_url

    Image URL to analyze

    Type: Text
    Default: –
    Allowed values: –

Tags

  • huggingface
  • qwen
  • alibaba
  • vision-understanding
  • open-weights
  • ocr
  • grounding
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Frequently asked questions

What is Qwen2.5-VL 7B Instruct (HF)?

Qwen2.5-VL 7B Instruct (HF) is a model by Alibaba (Qwen) in the Multimodal category. It is listed on Railwail but cannot be run at the moment.

How much does Qwen2.5-VL 7B Instruct (HF) cost on Railwail?

Qwen2.5-VL 7B Instruct (HF) cannot be run on Railwail at the moment, so there is no current price. Available alternatives with prices are listed further down this page.

What is the context window of Qwen2.5-VL 7B Instruct (HF)?

The context window of Qwen2.5-VL 7B Instruct (HF) holds 32,768 tokens. One response can be up to 4,096 tokens long.

How fast is Qwen2.5-VL 7B Instruct (HF)?

There are not enough measured runs of Qwen2.5-VL 7B Instruct (HF) on Railwail yet to state a run time. It depends on the input, the settings and the load at the provider.

Is Qwen2.5-VL 7B Instruct (HF) better than BLIP?

That depends on the task. Qwen2.5-VL 7B Instruct (HF) (Alibaba (Qwen)) and BLIP (Salesforce) are both models in the Multimodal category. The comparison page shows their prices and specifications side by side.

Compare Qwen2.5-VL 7B Instruct (HF) and BLIP

Can Qwen2.5-VL 7B Instruct (HF) process images?

Yes. Qwen2.5-VL 7B Instruct (HF) accepts images as input in addition to text.

Can I use Qwen2.5-VL 7B Instruct (HF) right now?

Currently unavailable. The page stays online; available alternatives from the same category are listed further down.

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