StableLM: Stability AI Language Models. Contribute to Stability-AI/StableLM development by creating an account on GitHub.

RedPajama is a project to create a set of leading, fully open-source models. Today, we are excited to announce the completion of the first step of this project: the reproduction of the LLaMA training dataset of over 1.2 trillion tokens.

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

PAL generates a Python program to solve a task from its natural language description.

Stable Diffusion with Core ML on Apple Silicon. Contribute to apple/ml-stable-diffusion development by creating an account on GitHub.

This bot is trained on over 200k comments and posts from BuyItForLife subreddits to embody the collective knowledge of the Reddit BuyItForLife community.

This is a breaking change that's going to give us three benefits: Your inference commands should load 100x faster You may be able to safely load models 2x larger You can run many concurrent infere...

Making large AI models cheaper, faster and more accessible - hpcaitech/ColossalAI: Making large AI models cheaper, faster and more accessible

Cerebras open sources seven GPT-3 models from 111 million to 13 billion parameters. Trained using the Chinchilla formula, these models set new benchmarks for accuracy and compute efficiency.

Implementation of the LLaMA language model based on nanoGPT. Supports quantization, LoRA fine-tuning, pre-training. Apache 2.0-licensed. - Lightning-AI/lit-llama: Implementation of the LLaMA langua...

Introducing Dolly, a breakthrough in LLM from Databricks. Learn how Databricks open sourced the model and all its training code, enabling organizations to re-create Dolly at a minimal cost.

Simple UI for LLaMA Model Finetuning. Contribute to lxe/simple-llama-finetuner development by creating an account on GitHub.

Locally run an Instruction-Tuned Chat-Style LLM . Contribute to antimatter15/alpaca.cpp development by creating an account on GitHub.

Code and documentation to train Stanford's Alpaca models, and generate the data. - tatsu-lab/stanford_alpaca: Code and documentation to train Stanford's Alpaca models, and generate the data.

In this tutorial we are going to explain, one of the emerging and prominent word embedding technique called Word2Vec proposed by Mikolov…

Contribute to commonsense/conceptnet-numberbatch development by creating an account on GitHub.

On Saturday 11th March I wrote about how Large language models are having their Stable Diffusion moment. Today is Monday. Let’s look at what’s happened in the past three days. …

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Wizard of Wikipedia is a large dataset with conversations directly grounded with knowledge retrieved from Wikipedia. It is used to train and evaluate dialogue systems for knowledgeable open dialogue with clear grounding