QwQ-Med-3

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by
yuvalkansal
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OTHER
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Early-stage
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Quick Summary

AI model with specialized capabilities.

Code Examples

Intended Usetexttransformers
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained(
    "yuvalkansal/QwQ-Med-3",
    torch_dtype="auto",
    device_map="auto",
)
tokenizer = AutoTokenizer.from_pretrained("yuvalkansal/QwQ-Med-3")

prompt = "A 45-year-old patient presents with..."
messages = [{"role": "user", "content": prompt}]

text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
inputs = tokenizer([text], return_tensors="pt").to(model.device)

outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

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