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Model card on Hugging Face
Qwen3-VL
by Alibaba
Chat Vision Tools Thinking
Alibaba's Qwen3-VL (qwen3_vl family) — vision, tool use, reasoning; 262K context.
- Publisher
- Alibaba
- Context window
- 256K tokens
- Sizes
- 2B, 4B, 8B, 30B, 32B, 235B
- Licence
- Apache 2.0
Run Qwen3-VL
Install it on a Pendra worker, then call it through the OpenAI-compatible API with a pdr_sk_ key.
Chat
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="qwen3-vl:2b",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)Vision
from pendra import Pendra
client = Pendra(api_key="pdr_sk_...")
response = client.chat.completions.create(
model="qwen3-vl:2b",
messages=[
{
"role": "user",
"content": [
{"type": "text", "text": "What's in this image?"},
{"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}},
],
}
],
)
print(response.choices[0].message.content)Run Qwen3-VL on your own UK infrastructure
Deploy a worker, install Qwen3-VL, and start serving it through one sovereign API endpoint.