pip install git+https://github.com/huggingface/trl.git Repository If you want to use the examples you can clone the repository with the following command: git clone https://github.com/huggingface/trl.git Quick Start For more flexibility and control over training, TRL provides dedicated trainer ...
pip install git+https://github.com/huggingface/trl.git Repository If you want to use the examples you can clone the repository with the following command: git clone https://github.com/huggingface/trl.git Quick Start For more flexibility and control over training, TRL provides dedicated trainer ...
正如这段TRL的介绍中所写,TRL提供了一组工具来通过强化学习来训练转换器语言模型,是一个覆盖了从SFT到RM再到PPO的全栈库。 TRL库的github链接: GitHub - huggingface/trl: Train transformer language models with reinforcement learning. 以及HuggingFace对TRL更详细介绍的链接 TRL - Transformer Reinforcement Learning ...
偏好优化已经在大语言模型中广泛使用了,但现在,它也可以用在视觉语言模型 (VLM) 上。得益于TRL的开发,现在我们可以使用 TRL 对 VLM 进行直接偏好优化(Direct Preference Optimization)。本文将会介绍使用 TRL 和 DPO 对视觉语言模型进行训练的全过程。 偏好数据集 进行偏好优化,首先我们需要有一个能体现用户偏好的数...
StackLlama: 在 Stack exchange 数据集上实现端到端 RLHF 训练一个 Llama 模型 Multi-Adapter Training: 使用单一模型和多适配器实现优化内存效率的端到端训练 👉 宝子们快行动起来,训练你的第一个 RLHF 模型吧!https://github.com/huggingface/trl
https://github.com/huggingface/peft/issues/574github.com/huggingface/peft/issues/574 这个issue属于peft仓库,Huggingface的Lora属于peft库,它的trainer继承了transformers的trainer,因此需要去transformers相关的文档中去搜索,上面的issue同样包含一个指向transformers相关功能的链接 ...
LoRA:LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS Prefix Tuning:Prefix-Tuning: Optimizing Continuous Prompts for Generation,P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks P-Tuning:GPT Understands, Too ...
$ git clone git@github.com:<your Github handle>/trl.git $ cd trl $ git remote add upstream https://github.com/huggingface/trl.git Create a new branch to hold your development changes, and do this for every new PR you work on. Start by synchronizing your main branch with the upstream...
repos: - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.6.3 hooks: - id: ruff types_or: [ python, pyi ] args: [ --fix ] - id: ruff-format types_or: [ python, pyi ] # - repo: https://github.com/codespell-project/codespell # rev: v2.1.0 # hooks: # - ...
gitclonehttps://github.com/huggingface/trl cdtrl 然后你可以运行脚本: python \ examples/scripts/sft.py \ --model_name meta-llama/Meta-Llama-3.1-8B \ --dataset_name OpenAssistant/oasst_top1_2023-08-25 \ --dataset_text_field="text" \ ...