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GitHub topics: finetuning-large-language-models

PE51K/spbu-diploma

MLLM application to Chinese speech practice as my SPBU diploma project

Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

promptslab/LLMtuner

FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)

Language: Python - Size: 591 KB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 237 - Forks: 15

ksm26/Finetuning-Large-Language-Models

Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.

Language: Jupyter Notebook - Size: 5.29 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 54 - Forks: 36

wangermeng2021/llm-webui

A Gradio web UI for Large Language Models. Supports LoRA/QLoRA finetuning,RAG(Retrieval-augmented generation) and Chat

Language: Python - Size: 2.46 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 36 - Forks: 6

Itachi-Uchiha581/Auto-Data

Auto Data is a library designed for quick and effortless creation of datasets tailored for fine-tuning Large Language Models (LLMs).

Language: Python - Size: 313 KB - Last synced at: 21 days ago - Pushed at: 6 months ago - Stars: 99 - Forks: 8

CodeofRahul/Fine_Tuning_Gemma_Model

This project demonstrates how to fine-tune the Gemma-2B language model for conversation summarization using QLoRA (Quantized Low-Rank Adaptation) on the SAMSum dataset. It leverages Hugging Face Transformers, PEFT, and BitsAndBytes libraries for efficient and effective fine-tuning.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

AlbertChoo/NLP-Projects

Hmm, projects with, transformers, pre-trained model, finetuning LLM using LoRA, QLoRA, calibration techniques to improve confidence, reduce `eval_loss`, etc.

Language: Jupyter Notebook - Size: 25 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Abhi0323/Fine-Tuning-LLaMA-2-with-QLORA-and-PEFT

This project enhances the LLaMA-2 model using Quantized Low-Rank Adaptation (QLoRA) and other parameter-efficient fine-tuning techniques to optimize its performance for specific NLP tasks. The improved model is demonstrated through a Streamlit application, showcasing its capabilities in real-time interactive settings.

Language: Jupyter Notebook - Size: 160 KB - Last synced at: 8 days ago - Pushed at: about 1 year ago - Stars: 13 - Forks: 5

jordandeklerk/Starcoder2-Finetune-Code-Completion

Finetuning Starcoder2-3B for Code Completion on a single A100 GPU

Language: Jupyter Notebook - Size: 575 KB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 7 - Forks: 1

hemanthkarthick03/AI-Driven-Research-Engine-for-Commercial-Courts

A research engine designed to deliver actionable insights by analyzing and interpreting multimodal inputs, including text, images, and other data types. It integrates diverse information sources to provide comprehensive and contextually relevant responses.

Language: Jupyter Notebook - Size: 1.66 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Rahul-AkaVector/java-code-generator

This repository contains code for fine-tuning the LLama3 8b model using Alpaca prompts to generate Java codes. The code is based on a Google Colab notebook.

Language: Jupyter Notebook - Size: 265 KB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 4 - Forks: 4

Eva-Kaushik/Finetuning-LLM

Finetuning-LLM

Language: Jupyter Notebook - Size: 5.27 MB - Last synced at: 19 days ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

nagababumo/Finetuning-Large-Language-Models

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

SreecharanV/Building-a-Language-Understanding-and-Question-Answering-System-from-open-ended-Trivia-Data

This project uses BERT to build a QA system fine-tuned on the SQuAD dataset, improving the accuracy and efficiency of question-answering tasks. We address challenges in contextual understanding and ambiguity handling to enhance user experience and system performance.

Language: Jupyter Notebook - Size: 5.81 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

scottpitcher/tampa-ai

(In-progress) Finetuning OpenAI's GPT-3.5-Turbo as a base model on open-source data about the Tampa Bay region to create a chatbot specializing in information on the area!

Language: Python - Size: 64.5 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

reedemus/dlai_finetune_llm

Jupyter notebooks from "Finetune LLMs" course at deeplearning.ai

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

KUNALSINGH9373/LLM-Fine-tuning-large-language-models

This repo contains influential papers which use finetuning techniques for LLMs for domain specific tasks.

Size: 3.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

KUNALSINGH9373/LLM-RLHF

This repository contains some of the most influential papers of on the RLHF technique of fine-tuning LLMs.

Size: 11.6 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

kevintsai/Finetuning-Large-Language-Models

Jupyter notebooks for course Finetuning Large Language Models, taught by Sharon Zhou (Lamini) and Andrew Ng (DeepLearning.AI).

Language: Python - Size: 0 Bytes - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0