On July 30, 2026, the highly anticipated magazine detailing Mazda's fully redesigned CX-5 will be available, showcasing its features and comparisons.

Hi, i have fine tuned llama 8b instruct model by QLoRA (loaded base model in 4bit followed by Lora) and saved trained model. im using google colab T4(15gb) gpu. when i load base model completely on gpu (device_map=“cuda:0”) in float 16 for merging then i get _Out Of Memory error_ if i use following code i get _NotImplementedError: Cannot copy out of meta tensor; no data!_ Is there any solution? `tokenizer = AutoTokenizer.from_pretrained(NEW_MODEL) model = AutoModelForCausalLM.from_pretrained( MODEL_NAME, torch_dtype=torch.float16, device_map=“auto”, offload_folder=OFFLOAD_DIR, token = HF_TOKEN ) model.resize_token_embeddings(len(tokenizer), pad_to_multiple_of=8) model = PeftModel.from_pretrained(model,NEW_MODEL,offload_folder=OFFLOAD_DIR) model = model.merge_and_unload()`