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【用LoRA微调LLM的实用技巧】《Practical Tips for Finetuning LLMs Using LoRA (Low-Rank Adaptation)》 http://t.cn/A6W32jXt #机器学习#
LoRA: Low-Rank Adaptation of Large Language Models. Fine Tuning & Optimization Section. LoRA Fine-Tuning Sample. QLoRA: Efficient Finetuning of Quantized LLMs. Fine Tuning & Optimization Section. QLoRA Fine-Tuning Sample. How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-...
Fine-Tuning a 7B Model in a single 16GB GPU using QLoRA. We are going to see a brief introduction to quantization, used to reduce the size of big Large Language Models. With quantization, you can load big models reducing the memory resources needed. It also applies to the fine-tuning pr...
Fine-Tuning a 7B Model in a single 16GB GPU using QLoRA. We are going to see a brief introduction to quantization, used to reduce the size of big Large Language Models. With quantization, you can load big models reducing the memory resources needed. It also applies to the fine-tuning pr...
Fine-Tuning a 7B Model in a single 16GB GPU using QLoRA. We are going to see a brief introduction to quantization, used to reduce the size of big Large Language Models. With quantization, you can load big models reducing the memory resources needed. It also applies to the fine-tuning pr...