Deprecated
Use the unified Qwen-VL block (roboflow_core/qwen_vlm@v1), which exposes Qwen 2.5 VL alongside other Qwen variants and the OpenRouter passthrough.
This workflow block runs Qwen2.5-VL-a vision language model that accepts an image and an optional text prompt-and returns a text answer based on a conversation template.
Type identifier
Use the following identifier in step "type" field: roboflow_core/qwen25vl@v1 to add the block as a step in your workflow.
Properties
| Name | Type | Description | Refs |
|---|---|---|---|
name | str | Enter a unique identifier for this step.. | ❌ |
prompt | str | Optional text prompt to provide additional context to Qwen2.5-VL. Otherwise it will just be a default one, which may affect the desired model behavior.. | ❌ |
model_version | str | The Qwen2.5-VL model to be used for inference.. | ✅ |
system_prompt | str | Optional system prompt to provide additional context to Qwen2.5-VL.. | ❌ |
The Refs column marks possibility to parametrise the property with dynamic values available in workflow runtime. See Bindings for more info.
Runtime compatibility
hard - runtime self_hosted_cpu; execution local : Requires a GPU; run_locally() loads a model that needs CUDA.
Input and Output Bindings
The available connections depend on its binding kinds. Check what binding kinds Qwen2.5-VL in version v1 has.
Input and output bindings
input
images(image): The image to infer on..model_version(roboflow_model_id): The Qwen2.5-VL model to be used for inference..
output
parsed_output(dictionary): Dictionary.
Example JSON definition
{
"name": "<your_step_name_here>",
"type": "roboflow_core/qwen25vl@v1",
"images": "$inputs.image",
"prompt": "What is in this image?",
"model_version": "qwen25-vl-7b",
"system_prompt": "You are a helpful assistant."
}