Today's Open Source (2024-10-17): NVIDIA Open-Sources Llama 3.1 Nemotron 70B
Explore NVIDIA's Llama 3.1 Nemotron-70B model, Mini-Omni2, Ichigo, Toy Box Flux, and more cutting-edge AI projects in this detailed breakdown.
Here are some interesting AI open-source models and frameworks I wanted to share today:
Project: Nemotron-70B
Llama-3.1-Nemotron-70B-Instruct is a large language model customized by NVIDIA, designed to enhance the effectiveness of user query responses generated by LLMs.
This model has excelled in multiple automated alignment benchmarks, surpassing powerful models like GPT-4o and Claude 3.5 Sonnet.
It is trained through RLHF (particularly REINFORCE) and supports the HuggingFace Transformers codebase.
https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct-HF
https://huggingface.co/nvidia/Llama-3_1-Nemotron-51B-Instruct
Project: Mini-Omni2
Mini-Omni2 is an all-in-one interactive model capable of understanding image, audio, and text inputs, engaging users in end-to-end voice conversations.
This project features real-time voice output, multimodal understanding, and flexible interaction capabilities, supporting an interrupt mechanism during speech.
https://github.com/gpt-omni/mini-omni2
Project: Ichigo
Ichigo is an open, ongoing research experiment aimed at expanding text-based language models to include native "listening" capabilities.
Inspired by Meta's Chameleon paper, this project employs an early fusion technique with the goal of creating an open data, open-weight voice assistant similar to on-device Siri.
Ichigo is trained on public platforms to progressively enhance its multi-turn conversation abilities and is capable of rejecting inaudible queries.
https://github.com/homebrewltd/ichigo
Project: Toy Box Flux
Toy Box Flux is an AI image-generation-based project aimed at creating uniquely styled toy designs by combining existing 3D LoRA and Coloring Book Flux LoRA.
This project focuses on generating cute 3D toy render images, suitable for both objects and human themes. Future versions are planned to enhance stylistic consistency through further training on generated outputs.
https://huggingface.co/renderartist/toyboxflux
Project: Awesome o1
Awesome o1 is a collection of papers related to OpenAI’s o1 project, featuring multiple research papers in the fields of machine learning and natural language processing.
These papers explore topics ranging from solving mathematical problems to language model reasoning, showcasing the latest research advances and technical applications in these areas.
https://github.com/srush/awesome-o1
Project: Tabled
Tabled is a small library for detecting and extracting tables.
It uses Surya to locate all tables in PDFs, identify rows and columns, and format cells into Markdown, CSV, or HTML.
This project aims to simplify the process of extracting table data from documents, supporting various document formats including PDFs, images, Word documents, and PowerPoint.