Fine-tune the recent Llama-2-7b model on a single GPU and turn it into a chatbot I will leverage PEFT library from Hugging Face ecosystem, as well as QLoRA for more memory efficient finetuning. - DavidLanz/Llama2-Fine-Tuning-using-QLora
训练代码:github.com/hengjiUSTC/l Lora + Split model python3 trl_finetune.py -m NousResearch/Llama-2-7b-hf --block_size 1024 --eval_steps 10 --save_steps 20 --log_steps 10 -tf mixtral/train.csv -vf mixtral/val.csv -b 2 -lr 1e-4 --lora_alpha 16 --lora_r 64 -e 1 --...
github.com/facebookrese TL;DR LLaMA的升级版,是一系列7B到70B的模型,同时也通过finetune得到了LLaMA 2-Chat,专门用于对话,也十分关注helpfulness和safety。一上来就先甩出来三张图表明helpfulness和safety _Figure 1. Helpfulness human evaluation results for Llama 2-Chat compared to other open-source and close...
fine-tuning llama2 with parameter-efficient fine-tuning (PEFT) techniques like LoRA or QLoRA. - vishnun0027/Fine-tune_llama2
加载了预训练的 Llama2 模型和分词器,模型从指定的路径加载,并设置了对应的硬件设备和量化配置。 配置分词器的填充符号为结束符号,并设置填充方向为右侧。 3. 训练参数和环境设置 args = TrainingArguments( output_dir="/content/drive/MyDrive/Machine Learning/model_llama2_finetuned", num_train_epochs=3, ...
论文:Llama 2: Open Foundation and Fine-Tuned Chat Models github地址:github.com/facebookrese HuggingFace地址:meta-llama (Meta Llama 2) Llama 2是一系列预训练和微调的大型语言模型(LLMs),参数规模从70亿到700亿不等。Meta的微调LLMs,叫做Llama 2-Chat,是为对话场景而优化的。Llama 2模型在大多数基准上...
llamallama2llama3llama3-chinesellama3-finetune UpdatedSep 16, 2024 Python Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters machine-learningdeep-learningpytorchdistributedllamamlopscluster-managementllmllama...
Fine-tune Llama2 and CodeLLama models, including 70B/35B on Apple M1/M2 devices (for example, Macbook Air or Mac Mini) or consumer nVidia GPUs.slowllama is not using any quantization. Instead, it offloads parts of model to SSD or main memory on both forward/backward passes. In contrast...
2、Clone源码 git clone https://github.com/git-cloner/llama2-lora-fine-tuningcdllama2-lora-fine-tuning 3、安装依赖环境 #创建虚拟环境conda create -n llama2 python=3.9 -y conda activate llama2#下载github.com上的依赖资源(需要反复试才能成功,所以单独安装)exportGIT_TRACE=1exportGIT_CURL_VERBOSE=...
参考文献: https://duarteocarmo.com/blog/fine-tune-llama-2-telegramduarteocarmo.com/blog/fine-tune-llama-2-telegram 觉得有用的朋友不要忘记了一键三连哦,点赞,关注,评论!关注我,获得人工智能/职业规划/院校选择前沿资讯。 探索者 20 次咨询 5.0 2227 次赞同 去咨询编辑...