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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
LLM Finetuning with peft
| Date | Stars |
|---|---|
| 2026-07-24 | 2966 |
| 2026-07-25 | 2969 |
| 2026-07-28 | 2969 |
| 2026-07-30 | 2969 |
| 2026-07-31 | 2971 |
| 2026-08-06 | 2971 |
Today
— stars today
This week
+2 stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.07%/day
# LLM-Finetuning # PEFT Fine-Tuning Project 🚀 Welcome to the PEFT (Pretraining-Evaluation Fine-Tuning) project repository! This project focuses on efficiently fine-tuning large language models using LoRA and Hugging Face's transformers library.  ## Fine Tuning Notebook Table 📑 | Notebook Title | Description | Colab Badge | | ------------------------------------------------------------------------------------------------------------ | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **1. Efficiently Train Large Language Models with LoRA and Hugging Face** | Details and code for efficient training of large language models using LoRA and Hugging Face. | [](https://colab.research.google.com/github/ashishpatel26/LLM-Finetuning/blob/main/1.Efficiently_train_Large_Language_Models_with_LoRA_and_Hugging_Face.ipynb) | | **2. Fine-Tune Your Own Llama 2 Model in a Colab Notebook** | Guide to fine-tuning your Llama 2 model using Colab. | [](https://colab.research.google.com/github/ashishpatel26/LLM-Finetuning/blob/main/2.Fine_Tune_Your_Own_Llama_2_Model_in_a_Colab_Notebook.ipynb) | | **3. Guanaco Chatbot Demo with LLaMA-7B Model** | Showcase of a chatbot demo powered by LLaMA-7B model. | [](https://colab.research.google.com/github/ashishpatel26/LLM-Finetuning/blob/main/3.Guanaco%20Chatbot%20Demo%20with%20LLaMA-7B%20Model.ipynb) | | **4. PEFT Finetune-Bloom-560m-tagger** | Project details for PEFT Finetune-Bloom-560m-tagger. | [](https://colab.research.google.com/github/ashishpatel26/LLM-Finetuning/blob/main/4.PEFT%20Finetune-Bloom-560m-tagger.ipynb#scrollTo=MDqJWba-tpnv) | | **5. Finetune_Meta_OPT-6-1b_Model_bnb_peft** | Details and guide for finetuning the Meta OPT-6-1b Model using PEFT and Bloom-560m-tagger. | [](https://colab.research.goo
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Ashish Patel · Oracle | xIBMers · India
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:65ba760f986da5d1, topic:fine-tuning, topic:lora, topic:peft
matched fp:65ba760f986da5d1, topic:llm, topic:llama