There are 1 repository under gemma-2b topic.
Examples of RAG using Llamaindex with local LLMs - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
Create an AI-powered meeting summary tool with Python, Ollama, and Gemma
Examples of RAG using Llamaindex with local LLMs in Linux - Gemma, Mixtral 8x7B, Llama 2, Mistral 7B, Orca 2, Phi-2, Neural 7B
Build LLM-enabled FastAPI applications without build configuration.
The Ollama-Gemma-Summarizer is a Python-based project that aims to summarize conversations between people using the Ollama and Gemma libraries.
Explore practical fine-tuning of LLMs with Hands-on Lora. Dive into examples that showcase efficient model adaptation across diverse tasks.
第八届全国职工职业技能大赛人工智能训练师赛项
Video Summarization Experiments with Open LLMs
An iOS App recreating the Simon Says game. Uses MediaPipe to run an LLM on device
Ghudsavar (Horse rider) - Is a quick llama.cpp server for CPU only runtimes
stud-IA made by Pizza numbers group. EdTech Challenge, AI google developer hackathon. Build with gemma-2b.
This Repo contains How to Finetune Google's New Gemma LLm model using your custom instuction dataset. I have finetuned Gemma 2b instuct Model on 20k medium articles data for 5hrs on kaggle p100 GPU
Explore the power of Gemma model with GemGPT, a project leveraging AI for innovative solutions. Join us in shaping the future of AI!
Fine-tune the Gemma2B language model on a climate-related question-answer dataset to improve its domain-specific knowledge using LoRA (Low Rank Adaptation).
ECE-5424 Advanced Machine Learning Final Project - LLM Prompt Recovery task
Invoice OCR Extraction Flask API
Question Answering (QA) chatbot built using LangChain, Ollama, Python, Streamlit, and LangSmith. It offers the capability to switch between two different language models: "llama3.2" and "gemma:2b"
Finetune Gemma2b for QA : RAG LoRA ChromaDB
The task of this project is to Convert Natural Language to SQL Queries
Code for the ETH MSc Thesis: Sparse Autoencoders vs. Activation Difference for Language Model Steering
Creating a RAG model and Fine tuning for custom purposes
An advanced spam detection model fine-tuned from Gemma 2 2B for WhatsApp chatbots. Capable of identifying spam categories like abusive language, gibberish, and malicious links. Includes training, inference scripts, and configurable settings for customization. 🚀
This is a Streamlit-based chatbot powered by LangChain and Gemma 2B using the Ollama framework
ML Bot is a RAG Application built using google/gemma-2b-it local LLM
EMSUGI is a future prediction & analysis project on various factor like flood, earth quake, disease occurred on your neighborhood location.
Welcome to the Exploding Population Myths 1995 repository! This project leverages the Google Gemma model to analyze and debunk common population myths from 1995 book, providing valuable insights into historical population trends.
A simple memory game using an LLM and ability to upload markdown notes.
Spelling practice, because I think I am dyslexic (Next + Mongo + Prisma + Ollma gemma:2b)
This Repository Contains the Data and Code for Fine-tuning the Gemma 2 Model for YouTube Script Generation
This project is an AI-powered chat interface developed using Next.js and Tailwind CSS. It allows users to interact with an artificial intelligence model similar to ChatGPT, generating responses based on user input. However, to utilize the AI model, you need access to the Ollama platform, which includes the Gemma:2b model.
Tools and method for fine-tuning the Gemma 2 model on custom datasets