from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("omoplatapus/don")
tokenizer = AutoTokenizer.from_pretrained("omoplatapus/don")

# Format your input
text = "Let's negotiate the price of this property. I'm offering $800,000 for it."

# Generate response
inputs = tokenizer(text, return_tensors="pt")
outputs = model.generate(**inputs)
response = tokenizer.decode(outputs[0])

Training Details

The model was fine-tuned on a curated dataset of business negotiations with specific focus on:

Price negotiations
Contract discussions
Partnership agreements
Service level negotiations

Limitations

The model should not be used for legal advice
All negotiations should be verified by human experts
The model may occasionally generate overly assertive responses