Releases from frontier labs, major companies and research institutes — grouped by model, deduplicated across HuggingFace, OpenRouter and official blogs.
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Baidu🇨🇳Major lab
ERNIE 5.5 Flash Preview is the latest foundation model in the ERNIE family, with comprehensive improvements in coding, agentic capabilities, knowledge work, and deep research. It has 280 billion total...
Baidu🇨🇳Major lab
ERNIE-Light-DT-1.0 is based on open-source GLM models and includes research findings from Baidu Search's Lightning large model. It features Baidu Sparse Attention (BSA), a unique sparse attention mechanism developed by...
Baidu🇨🇳Major lab
Baidu vision-language model for OCR and parsing of very long documents. Its SR-SWA attention keeps per-step decoding latency and memory nearly constant regardless of document length, according to the model card.
Baidu🇨🇳Major lab
ERNIE-5.5-Flash-Base is a sparse MoE language model with 280B total and 14B activated parameters, pre-trained on 33.5T tokens. It is the checkpoint before mid- and post-training and serves as a starting point for domain adaptation, instruction tuning and reinforcement learning research.
Baidu🇨🇳Major lab
Baidu's OCR vision-language model parses document images, PDFs and multi-page documents into structured text. The model card positions it as a step beyond DeepSeek-OCR and lists Transformers, vLLM and SGLang for inference.
Baidu🇨🇳Major lab
PP-OCRv6: From 1.5M to 34.5M Parameters, Surpassing Billion-Scale VLMs on OCR Tasks
Baidu🇨🇳Major lab
PP-OCRv6: From 1.5M to 34.5M Parameters, Surpassing Billion-Scale VLMs on OCR Tasks