claritymentor-lora-failed

from unsloth import FastLanguageModel

model, tokenizer = FastLanguageModel.from_pretrained(
    "YOUR_USERNAME/claritymentor-lora-failed",
    max_seq_length=512,
    load_in_4bit=True,
)
FastLanguageModel.for_inference(model)

messages = [
    {"role": "system", "content": "You are ClarityMentor, a philosophical mentor."},
    {"role": "user", "content": "What is the meaning of life?"}
]

inputs = tokenizer.apply_chat_template(messages, return_tensors="pt", add_generation_prompt=True).to("cuda")
outputs = model.generate(inputs, max_new_tokens=256, temperature=0.7)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
# Output: Will ask you questions instead of answering...