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{{feed
	url="https://...[|https://...|https://...]"
	[title="News feed title|no"]
		"text" - displayed as title
		"no" - means show no title
		empty title - title taken from feed
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{{feed url="https://news.opensuse.org/feed/" time=1 max=2}}


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Feed Title: openSUSE News


openSUSE Releases Updated Legal Classification Model

The openSUSE Project has a new version of a language model designed to automate legal compliance checks for open-source software on the project’s HuggingFace .

The Cavil-Qwen3.5-4B model represents the latest iteration of Cavil, which leverages curated datasets designed to enhance automated legal text classification. The update underscores the growing role of community-driven open-source Artificial Intelligence.

The model is a specialized adaptation of Alibaba’s Qwen3.5-4B foundation model and is configured specifically to identify legally significant text such as license declarations, copyright notices, and similar legal markers within code repositories and documentation. By combining the base model with a Low-Rank Adaptation (LoRA) layer, efforts are efficiently fine-tuned and require minimal computational overhead. The smaller footprint allows Cavil-Qwen3.5-4B to run on modest hardware.

A key feature of this release is the availability of GGUF-format quantizations, contributed by a community member and hosted on HuggingFace. GGUF (GPT-Generated Unified Format) is a model file format optimized for running large language models locally using tools like llama.cpp. Quantization reduces a model’s precision; typically from 16-bit floating point down to 4-bit or even 2-bit integers, which dramatically lowers memory requirements for use on laptops, single GPUs or even CPUs.

The Cavil-Qwen3.5-4B release also highlights ongoing collaboration between openSUSE and the broader open-source AI community. Unlike proprietary models, Cavil’s training data and fine-tuning methods are transparent and allow users to audit, replicate or extend the work.

Local open-source AI continues to mature with projects like Cavil, which demonstrates how focused fine-tuning and community optimization can deliver value without relying on massive scale or closed ecosystems. The model, training datasets, and validation tools are available on Hugging Face under licensing that reflects their distinct components. Users interested in contributing or suggesting improvements are invited to engage with the openSUSE community on HuggingFace.


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Feed Title: Pool von Japan Through the Eyes of Others


Higashi Chaya, Kanazawa

prbimages hat dem Pool ein Foto hinzugefügt:

Higashi Chaya, Kanazawa

Early morning in the Higashi Chaya district of Kanazawa, Japan.

The city of Kanazawa has three well-preserved historic chaya ("teahouse") districts, and Higashi Chayagai, or the Eastern Chaya district, is the largest. The chaya offered food, drink, and entertainment by geisha. The buildings here date from around 1820, when the chaya were relocated from the central part of the city to their current locations. Traditionally, the houses featured lattices on the exterior of the ground floor, and guestrooms above. Some of the chaya are today preserved as semi-museums, still offering tea and sweets and geisha performances, while many others are now cafes, restaurants, and shops.

The Higashi Chaya district has been designated as a Japanese cultural asset.

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