rahulunair / sql_llm Star 6 Code Issues Pull requests Finetune an LLM to generate SQL from text on Intel GPUs (XPUs) using QLoRA llama bigdl intel-gpu xpu qlora intel-gpu-max llm-finetuning Updated Dec 4, 2023 Jupyter Notebook gmongaras / Wizard_QLoRA_Finetuning Star 5 Co...
FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text) whisperfinetunefine-tuningfinetuningllmllmopsllm-trainingllm-inferencefine-tuning-llmllm-frameworkfinetune-llmwhisper-finetunefinetuning-rlfinetuning-large-language-modelsllmtunerfinetune-llmsfinetune-llamafinetune-whisperfinetune...
> git clonehttps://github.com/simonlisiyu/llm_finetune.git > > cd llm_finetune > > pip install -r requirements.txt 2. 目录准备 > cd llm_finetune 创建配置目录`mkdir config`,生成配置文件 `touch config/trainer.yaml`,关联配置文件 `ln -s /opt/llm_finetune/config/trainer.yaml scripts/sr...
git clonehttps://github.com/simonlisiyu/llm_finetune.git cd llm_finetune pip install -r requirements.txt 目录准备 cd llm_finetune 创建配置目录mkdir config,生成配置文件touch config/trainer.yaml,关联配置文件ln -s /opt/llm_finetune/config/trainer.yaml scripts/src/llmtuner/ 关联数据目录:ln -s...
code:github.com/microsoft/Lo 对llama使用lora:github.com/Lightning-AI 另外,也感谢苏神的博客科学空间 解答了我很多困惑～ 1 大模型微调技术原理概述 我们知道自ChatGPT爆火以来,国内外科技公司都开始重兵部署在LLM上,比如Meta的Llama、国内的ChatGLM 和Qwen等,这些模型动辄几十B(Billion)的参数量,以70B的模型为...
长路漫漫,在后续的发展中,OpenCSG主导和引领LLM-Finetune项目持续发展,支持更多的微调算法,进一步提高易用性和微调效率。将重点支持更多模型的微调,以及更多的微调方法,在易用性方面,用户更加方便启动微调项目。 LLM-Finetune开源地址: https://github.com/OpenCSGs/llm-finetune...
https://github.com/OpenCSGs/llm-finetune 推理项目的开源地址: https://github.com/OpenCSGs/llm-inference 开源大模型的开源地址: https://github.com/OpenCSGs/CSGHub 开放传神(OpenCSG)成立于2023年,是一家致力于大模型生态社区建设,汇集人工智能行业上下游企业链共同为大模型在垂直行业的应用提供解决方案和...
In these instructions, we'll walk you through the steps to fine-tune Llama 2 models using BigDL LLM on Intel® Data Center GPUs. Get Intel Data Center GPU resource on Intel Developer Cloud Intel® Data Center GPU instances are available on theIntel® Tiber™ AI Cloud. Yo...
【LLM系列之FLAN-T5/PaLM】Scaling Instruction-Finetuned Language Models,研究已经证明,在一组表述为指令的数据集上微调语言模型可以提高模型性能和对未知任务的泛化能力。(1)缩放任务数
In this article, we’ve covered the essentials ofhow to efficiently fine-tune LLMs. We customized parameters to train on our Code Llama model on a small Python dataset. Finally, we merged the weights and uploaded the result on Hugging Face. ...