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Junhauwong
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Junhauwong
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MODEL = "Junhauwong/Surge-V1-Pro" processor = AutoProcessor.from_pretrained(MODEL, trust_remote_code=True) model = Qwen3_5MoeForConditionalGeneration.from_pretrained(MODEL, trust_remote_code=True, dtype=torch.bfloat16, device_map="auto", low_cpu_mem_usage=True) messages = [{"role":"user","content":[{"type":"text","text":"Explain how artificial intelligence works."}]}] inputs = processor(text=messages, return_tensors="pt") inputs = {k:(v.to(model.device) if hasattr(v,"to") else v) for k,v in inputs.items()} with torch.inference_mode(): output = model.generate(**inputs, max_new_tokens=512, do_sample=False) print(processor.batch_decode(output, skip_special_tokens=True)[0])