LLMs PEFT技术1：LoRA Parameter efficient fine-tuning PEFT techniques 1: LoRA Low rank Adaptation - Code World

LLMs PEFT技术1：LoRA Parameter efficient fine-tuning PEFT techniques 1: LoRA Low rank Adaptation

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Origin blog.csdn.net/zgpeace/article/details/132531628

LLMs PEFT技术1：LoRA Parameter efficient fine-tuning PEFT techniques 1: LoRA Low rank Adaptation

LLMs Parameter efficient fine-tuning PEFT techniques 2: Soft prompts

Simple understanding of LoRA (Low-Rank Adaptation) in efficient fine-tuning of large model parameters

[NLP] LLM efficient fine-tuning (PEFT)--LoRA

LoRA: A Low-Rank Adaptive Fine-tuning Model for Large Models

PEFT fine-tuning

Efficient fine-tuning of large models - introduction to the PEFT framework

Large model-DeltaTuning-heavy parameter formula: LoRA (Low-Rank Adaptation)

Large language model fine-tuning and PEFT efficient fine-tuning

Peft library combat (3): Lora fine-tuning mt0/bloom (GPT generation)

Hand-written deep learning (21): Fine-tuning Stable Diffusion with PEFT LoRA

Practical application of large models 10 - Detailed explanation of large model domain knowledge and parameter efficient fine-tuning (PEFT) technology, and use PEFT to train your own large models

LLM-Project Detailed Explanation-Chinese-LLaMA-AIpaca (1): LLM+LoRa fine-tuning acceleration technology principle and PEFT-based hands-on practice: some thoughts and a complete case of mt0-large+lora

LoRA fine-tuning

LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

Simple understanding of LoRA (Low-Rank Adaptation) in efficient fine-tuning of large model parameters

Simple understanding of LoRA (Low-Rank Adaptation) in efficient fine-tuning of large model parameters

Simple understanding of LoRA (Low-Rank Adaptation) in efficient fine-tuning of large model parameters

Summary of three fine-tuning techniques for pre-training large language models: fine-tuning, parameter-efficient fine-tuning and prompt-tuning

LLMs: LLaMA Efficient Tuning (an efficient tool that can efficiently fine-tune [full parameters/LoRA/QLoRA] mainstream large models [ChatGLM2/LLaMA2/Baichuan, etc.] [pre-training + instruction supervision fine-tuning +

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Under the overview of efficient fine-tuning of large models: DiffPruning, BitFit, LoRa, AdaLoRA, MAM Adapters, UniPELT

LoRA, AdaLoRA, QLoRA, a review of the principle of efficient fine-tuning technology for large model parameters

[Paper Reading Notes 77] LoRA: Low-Rank Adaptation of Large Language Models

[NLP classic paper intensive reading] LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

Brief reading of the paper LORA: LOW-RANK ADAPTATION OF LARGE LANGUAGE MODELS

Use peft's lora to fine-tune MAE

[Natural Language Processing] [Large Model] LoRA and BLOOM-LORA implementation codes for fine-tuning large model methods with very low resources

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