AI Model / Autonomous Driving
A vision-language foundation model for autonomous driving that combines 3D perception, driving VQA, and motion planning in one framework. The repo shows performance tables, model structure, and links to the paper, blog, and model downloads.
The page clearly describes an AI-powered research model for autonomous driving and gives enough evidence to be useful in a public directory. It explains the model’s multimodal setup, lists task heads and benchmarks, and points to downloads and documentation.
The crawl cuts off before the usage section is fully visible, so a visitor cannot see the full install/run instructions, example prompts, or the exact inference API from this snapshot.
Last evaluated 6 days ago. Current rank #676. Down 3 spots in the rankings.
A 150M ModernBERT-based token classification model that extracts verbatim evidence spans for RAG and related pipelines, reducing the need for an LLM call to highlight answers.
JetBrains introduces Mellum2, an open-source 12B model built for software engineering workflows, routing, Q&A, RAG, sub-agents, and private deployment.
An open-source 26M parameter function-calling model designed to run on very small devices, with a local quickstart, Python usage, and a playground for testing and finetuning.
