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gpt-neo
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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.
Salesforce codegen with web server
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
Few Shot Learning using EleutherAI's GPT-Neo an Open-source version of GPT-3
A notebook that runs GPT-Neo with low vram (6 gb) and cuda acceleration by loading it into gpu memory in smaller parts.
Codebase for Linguistic Collapse: Neural Collapse in (Large) Language Models [NeurIPS 2024] [arXiv:2405.17767]
Natural language model AI via HTTP
AI Text Generator : Friedrich Nietzsche
