XCT-Qwen3-4B

from transformers import AutoModelForCausalLM, AutoTokenizer

tokenizer = AutoTokenizer.from_pretrained(
    "tech-tweakers/XCT-Qwen3-4B"
)

model = AutoModelForCausalLM.from_pretrained(
    "tech-tweakers/XCT-Qwen3-4B",
    device_map="auto"
)

prompt = """
You are Polaris XCT Executor.

Environment is trusted and stable.
Do not act without explicit instruction.
One step per iteration.
"""

inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(
    **inputs,
    max_new_tokens=128
)

print(tokenizer.decode(outputs[0], skip_special_tokens=False))