ChatGLM Efficient Tuning efficiency debugging PEFT - Code World

ChatGLM Efficient Tuning efficiency debugging PEFT

Enterprise 2023-06-21 08:27:44 views: null

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Origin blog.csdn.net/sinat_37574187/article/details/131324228

ChatGLM Efficient Tuning efficiency debugging PEFT

ChatGLM Efficient Tuning source code analysis src/utils/peft_trainer.py

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

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

ChatGLM Efficient Tuning source code analysis train_sft.py

Source code analysis ChatGLM Efficient Tuning utils/common.py

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

ChatGLM-Efficient-Tuning parameter analysis glmtuner.hparams.ModelArguments

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

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

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

PEFT fine-tuning

Modified ChatGLM-6B self-awareness example ChatGLM Efficient Tuning

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

Source code analysis ChatGLM Efficient Tuning/src/utils/config.py

ChatGLM Efficient Tuning source code analysis src/utils/seq2seq.py (2)

【ChatGLM】ChatGLM fine-tuning of large models

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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