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 + - Code World

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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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 +

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

Efficient fine-tuning technology for large models

Efficient fine-tuning practice of LLaMA, ChatGLM, BLOOM parameters

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

LaVIN—Efficient Instruction Fine-tuning for Multimodal Dialogue Models

Overview of the principles of efficient fine-tuning technology for large model parameters (2) - BitFit, Prefix Tuning, Prompt Tuning

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

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-into Attention论文解读

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

On the overview of efficient fine-tuning of large models: Adapter Tuning, AdaMix, PET, Prefix-Tuning, Prompt Tuning, P-tuning, P-tuning v2

Summary of hardware requirements for Llama-2 inference and fine-tuning: RTX 3080 can fine-tune the smallest model

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

LLMs instruction fine-tuning Instruction fine-tuning

【ChatGLM】ChatGLM fine-tuning of large models

[Instruction fine-tuning of LLM series] Long story short, "Prompt" for instruction fine-tuning of large models

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

[Natural Language Processing] Efficient fine-tuning of large models: PEFT use cases

ChatGLM2 of LLMs: Introduction and usage of ChatGLM-Finetuning (based on DeepSpeed) (four fine-tuning methods (Freeze method/Lora method/P-Tuning method/full parameters) + single-card/multi-card training

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

QLoRA: Efficient fine-tuning strategies and practices for quantitative LLM

The secret weapon for efficient development of large models: MindSpore PET, a low-parameter fine-tuning kit for large models

Lightweight fine-tuning Parameter-Efficient Fine-Tuning

Interpretation of Lawyer LLaMA, fine-tuning of large models in Yanshen's professional field: data set construction, model training

Generative AI New World | Overview of the principles of efficient fine-tuning and quantification of large model parameters

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

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

Detailed notes on fine-tuning Llama 2 using QLoRA

Bloom&LLAMA of large models----SFT (model fine-tuning)

Popular understanding of major fine-tuning methods for large models: from Prefix Tuning, P-Tuning V1/V2 to LoRA, QLoRA

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