Scripts for fine-tuning Llama2 via SFT and DPO. Contribute to mzbac/llama2-fine-tune development by creating an account on GitHub.
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
fine-tuning llama2 with parameter-efficient fine-tuning (PEFT) techniques like LoRA or QLoRA. - vishnun0027/Fine-tune_llama2
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...
python machine-learning ai pytorch llama finetuning llm langchain vllm llama2 Updated Oct 15, 2024 Jupyter Notebook h2oai / h2o-llmstudio Star 4k Code Issues Pull requests Discussions H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o...
Hello!There are few tutorials on fine-tuning this large model LLama2-70B. What instruction should I use to fine tune it(like Lora)? GPU:16 * A10(16 * 24G) Data:10,000+ pieces of data,like:{"instruction": "Summarize this Ethereum transaction.","input": ":'block_timestamp': '2023...
Fine-tuning Safety Discussion Thoughts Project Page 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 Lla...
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as
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 --...
llama-recipes fine-tuning-2 data preparation we use huggingfaceshibin6624/medicalto fine-tuning llama2, please note that this dataset is consist of en and cn data, here we just use en data. dataset structure now we download and load dataset, then save them into train.csv, validation.csv ...