Records found: 12
'Hugging Face published Smol2Operator, an open pipeline that trains a 2.2B VLM into a GUI-operating agent using a two-phase SFT process and a unified action space for interoperable datasets.'
'dots.ocr is an open-source 1.7B vision-language model that unifies layout detection and OCR to deliver state-of-the-art multilingual document parsing, including accurate table and formula extraction.'
'Zhipu AI released GLM-4.5V, an open-source vision-language model that combines a 106B parameter MoE backbone with 12B active parameters, 64K token context and a tunable Thinking Mode for advanced multimodal reasoning.'
'NuMind launched NuMarkdown-8B-Thinking, a reasoning-first OCR VLM that infers layout and outputs clean Markdown ideal for RAG and document archiving.'
RoboBrain 2.0 from BAAI integrates vision and language understanding to advance embodied AI in robotics, offering scalable models and superior reasoning for complex tasks.
GLM-4.1V-Thinking is a cutting-edge vision-language model that pushes the boundaries of multimodal reasoning, setting new standards across various challenging AI tasks.
Alibaba's Qwen team introduces Qwen-VLo, an advanced multimodal model enabling creative text-to-image generation and editing with multilingual support and progressive scene construction.
NVIDIA releases Llama Nemotron Nano VL, a compact vision-language model that excels in complex document understanding with efficient multimodal processing and state-of-the-art accuracy.
MiMo-VL-7B is a powerful vision-language model developed by Xiaomi researchers, offering state-of-the-art performance in visual understanding and multimodal reasoning through advanced training techniques.
ByteDance introduces Seed1.5-VL, a powerful vision-language model achieving state-of-the-art performance on numerous benchmarks, advancing multimodal AI understanding and reasoning.
Hugging Face has released nanoVLM, a compact PyTorch library that enables training a vision-language model from scratch in just 750 lines of code, combining efficiency, transparency, and strong performance.
NVIDIA unveiled Eagle 2.5, a compact 8B parameter vision-language model that achieves state-of-the-art performance on long-context video tasks, rivaling much larger models like GPT-4o through innovative training and data strategies.