Qwen3-4B-Sky-High-Hermes

from transformers import AutoModelForCausalLM, AutoTokenizer

model = "ZeroXClem/Qwen3-4B-Sky-High-Hermes"
tokenizer = AutoTokenizer.from_pretrained(model)
model = AutoModelForCausalLM.from_pretrained(model, torch_dtype="auto", device_map="auto")

prompt = "Explain the philosophical connection between memory and time."
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))