Today's Open Source (2024-07-17): Mistral AI's Math Reasoning Model, Mamba2 Architecture Code Model
Today's Open Source (2024-07-17): Mistral AI's Math Reasoning Model, Mamba2 Architecture Code Model
Explore cutting-edge AI models and frameworks like Mathstral 7B, DCLM, SmolLM, ColPali, and IoA for advanced language processing and document retrieval.
I'll share some interesting AI open-source models and frameworks today.
Project: Mathstral 7B and Codestral Mamba
Project: DCLM
DataComp-LM (DCLM) is a comprehensive framework aimed at building and training large language models (LLMs) with diverse datasets.
It provides a standardized corpus, including over 300T unfiltered tokens from CommonCrawl, an effective pre-training recipe based on the open_lm framework, and over 50 evaluation tools.
This project allows researchers to experiment with different dataset construction strategies across various compute scales, from 411M to 7B parameter models. Baseline experiments show significant performance improvements through optimized dataset design.
Project: SmolLM
SmolLM is a series of state-of-the-art small language models with 135M, 360M, and 1.7B parameters.
The project is trained on a high-quality corpus, aiming for efficient inference and user privacy protection.
SmolLM models perform excellently in their size category on diverse benchmarks in commonsense reasoning and world knowledge.
https://huggingface.co/blog/smollm
Project: ColPali
ColPali is an efficient document retrieval system using vision language models. It can retrieve both text and images and tables in documents.
ColPali is applicable in multimodal RAG, addressing the issue of traditional text search struggling with visually rich documents.
It can "understand" the entire document, including text and visual elements, providing smarter and more comprehensive document retrieval services.
Project: IoA
Internet of Agents (IoA) is an open-source framework aiming to create a platform where diverse AI agents can collaborate on complex tasks.
Through an internet-like connection, tools like AutoGPT and Open Interpreter can combine their unique skills to solve problems that a single agent cannot handle alone.
