cpa-qwen3-8b-v0

from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "AudCor/cpa-qwen3-8b-v0"

# Load the model
model = AutoModelForCausalLM.from_pretrained(
    model_name,
    device_map="auto"
)
tokenizer = AutoTokenizer.from_pretrained(model_name)

# Specialized System Prompt
system_prompt = "You are an expert Certified Public Accountant (CPA). Your goal is to provide accurate, professional, and compliant financial advice..."

messages = [
    {"role": "system", "content": system_prompt},
    {"role": "user", "content": "Explain the revenue recognition principle under ASC 606."},
]

inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True).to("cuda")
outputs = model.generate(inputs, max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))