Qwen3-VL-30B-A3B-Instruct-int4-AutoRound
171
2
—
by
Intel
Other
OTHER
30B params
New
171 downloads
Early-stage
Edge AI:
Mobile
Laptop
Server
68GB+ RAM
Mobile
Laptop
Server
Quick Summary
AI model with specialized capabilities.
Device Compatibility
Mobile
4-6GB RAM
Laptop
16GB RAM
Server
GPU
Minimum Recommended
28GB+ RAM
Code Examples
How To Usepythontransformers
from transformers import Qwen3VLMoeForConditionalGeneration, AutoProcessor
# default: Load the model on the available device(s)
model_name = "Intel/Qwen3-VL-30B-A3B-Instruct-int4-AutoRound"
model = Qwen3VLMoeForConditionalGeneration.from_pretrained(
model_name, dtype="auto", device_map="auto"
)
processor = AutoProcessor.from_pretrained(model_name)
messages = [
{
"role": "user",
"content": [
{
"type": "image",
"image": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg",
},
{"type": "text", "text": "Describe this image."},
],
}
]
# Preparation for inference
inputs = processor.apply_chat_template(
messages,
tokenize=True,
add_generation_prompt=True,
return_dict=True,
return_tensors="pt"
)
# Inference: Generation of the output
generated_ids = model.generate(**inputs, max_new_tokens=128)
generated_ids_trimmed = [
out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)
]
output_text = processor.batch_decode(
generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
)
print(output_text)
"""
This is a heartwarming and serene photograph capturing a moment of connection between a woman and her dog on a beach at sunset.
\n\nThe image is taken from a side angle, focusing on the interaction between the two subjects. A woman with long, dark hair is sitting on the sand,
turned towards a large, light-colored dog, likely a yellow Labrador Retriever. The dog is sitting upright and is actively engaging with the woman,
extending its right front paw to give her a "high five." The woman is smiling warmly, looking at the dog with affection as she reciprocates the gesture.
\n\nThe setting is a sandy beach with gentle
"""Deploy This Model
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