Search results for Apache License 2.0
AI & Enterprise
Google unveils Gemma 4 QAT for mobiles and laptops to cut AI memory use sharply
Google unveiled Gemma 4 QAT, a version of its Gemma 4 model family designed to sharply reduce memory use so large AI models can run more easily on smartphones and standard laptops. It applies quantization-aware training, simulating quantization during training to limit quality loss. Google said the approach can preserve response quality while lowering memory needs. The models are free under the Apache License 2.0 and officially support local runtimes such as llama.cpp, Ollama and LM Studio.
AI & Enterprise
Hancom unveils open-source PDF data extraction tool OpenDataLoader v2.0
Hancom unveiled OpenDataLoader PDF v2.0, an open-source PDF data extraction tool it said achieved top benchmark performance. The release combines AI and direct extraction in a hybrid engine and can be used for free in a local environment to avoid data leakage to external servers. It includes four free AI add-ons for OCR, table extraction, formula extraction and chart analysis. Hancom also published benchmark data and reproducible code on GitHub and switched the licence to Apache 2.0.
AI & Enterprise
China AI startup Z.ai open-sources GLM-OCR document understanding model
Chinese AI startup Z.ai has open-sourced GLM-OCR, a multimodal optical character recognition model tailored for document understanding. The company says the 900 million-parameter model analyses layouts and recognises text in two stages, aiming to improve accuracy on complex documents. Z.ai reported a 94.62 score on OmniDocBench V1.5 and said the model can run locally, processing PDFs and images quickly and exporting results as HTML or JSON.