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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#
5X faster 50% less memory LLM finetuning 123 NaiboWang/EasySpider A visual no-code/code-free web crawler/spider易采集:一个可视化浏览器自动化测试/数据采集/爬虫软件,可以无代码图形化的设计和执行爬虫任务。别名:ServiceWrapper面向Web应用的智能化服务封装系统。 124 FlowiseAI/Flowise Drag & drop ...
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...
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...