Popular GitHub Repositories for Gpt Neo

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and finetune GPT-NEO (2.7 B) on a single GPU with Huggingface Transformers using DeepSpeed

SkyCode是一个多语言开源编程大模型，采用GPT3模型结构，支持Java, JavaScript, C, C++, Python, Go, shell等多种主流编程语言，并能理解中文注释。模型可以对代码进行补全，拥有强大解题能力，使您从编程中解放出来，专心于解决更重要的问题。| SkyCode is an open source programming model, which adopts the GPT3 model structure. It supports Java, JavaScript, C, C++, Python, Go, shell and other languages, and can understand Chinese comments.

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

A repository to run gpt-j-6b on low vram machines (4.2 gb minimum vram for 2000 token context, 3.5 gb for 1000 token context). Model loading takes 12gb free ram.

Fine-tuning 6-Billion GPT-J (& other models) with LoRA and 8-bit compression

A basic ui for running gpt neo 2.7B on low vram (3 gb Vram minimum)

Create soft prompts for fairseq 13B dense, GPT-J-6B and GPT-Neo-2.7B for free in a Google Colab TPU instance

Hebrew text generation models based on EleutherAI's gpt-neo. Each was trained on a TPUv3-8 made avilable via TPU Research Cloud Program.

Auto-generate an entire paper from a prompt or abstract using NLP

Codebase for arXiv:2405.17767, based on GPT-Neo and TinyStories.

Natural language model AI via HTTP

Efficiently query multiple prompts with ease: a command-line tool for batch querying large language models.

This repository contains various experiments and prototypes to get use to working with GPT-like models and being creative with them.

GPT-2 is a natural language processing technology developed by OpenAI and has some free applications

Text Generator for Amazon Ads. Use Natural Language Generation (NLG) technology to auto-generate text. Fine-tuning of pre-trained gpt-neo models to improve upon the RNN LSTM model

GPT-Neo fine tuning from Twitch chat conversations

Evaluating the quality of Automatic Code Generation and Recommendation tools, e.g. GitHub Copilot