2 LoRA代码解析 2.1 MergedLinear源码解析 2.2 对Llama 进行LoRA 微调 参考 0 前言 最近因为工作需要,在接触一些大模型微调训练相关的算子实现,因为以往接触inference相关比较多,而对于training相关的技术接触的相对较少,所以本文就以LoRA: Low-Rank Adaptation of Large Language Models为例来学习一下大模型微调的一些...
LoraConfig, PeftModel, get_peft_model, get_peft_model_state_dict, prepare_model_for_int8_training, prepare_model_for_kbit_training, set_peft_model_state_dict, ) import transformers from transformers.trainer_utils import PREFIX_CHECKPOINT_DIR ...
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一旦训练完成,你的fine-tuning大模型会保存在./lora-out目录下。根据我的配置,模型也会上传到我在hub_model_id中提供的Hugging Face仓库,接下来是我们推理过程: 大模型推理Inference 微调的结果其实并不是实际的Llama 2模型,而是适配到模型上的一个adapter(Axolotl默认使用qlora来生成Llama模型),所以最终,adapter的大...
The complete code samples with instructions can be found in thisGitHubrepository. Part 1: Fine-tune a Llama2-7b model using PEFT We are going to use the recently introduced method in the paperQLoRA: Quantization-aware Low-Rank Adapter Tuning for Language Generat...
To solve this problem, Matt Shumer, founder and CEO of OthersideAI, has created claude-llm-trainer, a tool that helps you fine-tune Llama-2 for a specific task with a single instruction. How to use claude-llm-trainer Claude-llm-traineris a Google Colab notebook that contains the code fo...
1、下载好7B、llama-lora、alpaca-lora到model_hub下。进入到model_hub目录下。2、将llama转换为hugging...
支持大模型评估,支持BLEU-4、ROUGE-1/2/L; 支持微调训练后的大模型作为训练模型再训练; 系统监控除gpu,支持cpu、mem和disk监控; [23/09/28] 支持baichuan、llama2、llama、glm2等大模型,支持QLoRA; 支持gpu预览、大模型微调训练、模型合并、部署服务(测试中); ...
支持大模型评估,支持BLEU-4、ROUGE-1/2/L; 支持微调训练后的大模型作为训练模型再训练; 系统监控除gpu,支持cpu、mem和disk监控; [23/09/28] 支持baichuan、llama2、llama、glm2等大模型,支持QLoRA; 支持gpu预览、大模型微调训练、模型合并、部署服务(测试中); ...
Llama中文社区,Llama3在线体验和微调模型已开放,实时汇总最新Llama3学习资料,已将所有代码更新适配Llama3,构建最好的中文Llama大模型,完全开源可商用 - Llama-Chinese/train/sft/finetune_clm_lora.py at main · LlamaFamily/Llama-Chinese