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| Property | Value |
|---|---|
| Base Model | meta-llama/Meta-Llama-3.1-8B-Instruct |
| Fine-Tuning Stage | Stage 0 → 1 |
| Method | QLoRA (r=16, alpha=32) |
| Precision | bfloat16 |
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("LLMOX/FiscalOxLLM-stage01")
4tokenizer = AutoTokenizer.from_pretrained("LLMOX/FiscalOxLLM-stage01")
5
6inputs = tokenizer("Your prompt here", return_tensors="pt")
7outputs = model.generate(**inputs, max_new_tokens=256)
8print(tokenizer.decode(outputs[0], skip_special_tokens=True))