| # Infatoshi/llama3.1-sft-v2 | |
| This is a fine-tuned version of meta-llama/Llama-3.2-1B using QLoRA. | |
| ## Model description | |
| Base model: meta-llama/Llama-3.2-1B | |
| Training technique: QLoRA | |
| Training data: Custom dataset | |
| ## Usage | |
| ```python | |
| from transformers import AutoModelForCausalLM, AutoTokenizer | |
| model = AutoModelForCausalLM.from_pretrained("Infatoshi/llama3.1-sft-v2") | |
| tokenizer = AutoTokenizer.from_pretrained("Infatoshi/llama3.1-sft-v2") | |
| prompt = "Your prompt here" | |
| inputs = tokenizer(prompt, return_tensors="pt") | |
| outputs = model.generate(**inputs, max_new_tokens=128) | |
| response = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| ``` | |