p-tuning 话题在 GitHub 上没有填写简介，这里按 Star 数汇总最相关的热门仓库。
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
基于ChatGLM-6B、ChatGLM2-6B、ChatGLM3-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning、全参微调等
优化的深度即时调优策略，与跨规模和任务的微调相当
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
轻松玩转LLM兼容openai&langchain，支持文心一言、讯飞星火、腾讯混元、智谱ChatGLM等
Code for COLING22 paper, DPTDR: Deep Prompt Tuning for Dense Passage Retrieval
Advanced LLM fine-tuning techniques: SFT (LoRA, QLoRA, DoRA, P-/Prefix-Tuning), GRPO, DPO, ORPO, KTO & PPO; composable correctness/format rewards + LLM-as-a-Judge evals (DeepEval, Evidently AI) across math, multi-hop, medical & general QA on Llama 3, Mistral, Phi-4, Gemma & Qwen3. Built on TRL, PEFT & Unsloth.
P-tuning-v2 integrated mrc for ner
This bootcamp is designed to give NLP researchers an end-to-end overview on the fundamentals of NVIDIA NeMo framework, complete solution for building large language models. It will also have hands-on exercises complimented by tutorials, code snippets, and presentations to help researchers kick-start with NeMo LLM Service and Guardrails.
Comparison of different adaptation methods on PEFT for fine-tuning downstream tasks or benchmarks.
金融年报大模型智能解读系统：NL2SQL、P-Tuning v2 + LoRA、vLLM 多适配器、Camelot+xpdf 解析
Reproduce a prompt-learning method: P-Tuning V2, from the paper 《P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks》, model usage: Deberta + ChatGLM2, additional_task: RACE
ChatGLM-6B 微调项目：支持 LoRA / P-Tuning，含断点续训、显存优化、数据加载优化与日志系统。