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Qwen3-VL-4B Model quantised by bitsandbytes NF4 Quantisation Method
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Direct Use
model_4bit.eval()
model_4bit.model.compile(
mode="reduce-overhead",
fullgraph=False,
)
processor = AutoProcessor.from_pretrained(
"Qwen/Qwen3-VL-4B-Instruct",
min_pixels=256 * 32 * 32,
max_pixels=1280 * 32 * 32,
)
messages = [
{
"role": "user",
"content": [
{"type": "image", "image": "/content/IMG_2680.png"},
{
"type": "text",
"text": "Please extract the handwritten chess moves from this chess notation sheet.",
},
],
}
]
inputs = processor.apply_chat_template(
messages,
tokenize=True,
add_generation_prompt=True,
return_dict=True,
return_tensors="pt",
enable_thinking=False,
).to(model_4bit.device)
with torch.no_grad():
generated_ids = model_4bit.generate(
**inputs,
max_new_tokens=200,
do_sample=False,
cache_implementation="static",
)
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[0])
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Environmental Impact
Carbon emissions can be estimated using the
Machine Learning Impact calculator presented in
Lacoste et al. (2019).
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