@djangoproject · Post #495 · 11/11/2017, 01:57 PM
http://tech-artists.org/t/pyqt-model-view-video-tutorial-series-part-01/1401 [#PyQT] Model View Video Tutorial Series (Part 01)
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#python#deep_learning#inference#llm#nlp#pytorch#transformer Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware. https://github.com/GeeeekExplorer/nano-vllm
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@djangoproject · Post #495 · 11/11/2017, 01:57 PM
http://tech-artists.org/t/pyqt-model-view-video-tutorial-series-part-01/1401 [#PyQT] Model View Video Tutorial Series (Part 01)
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@djangoproject · Post #494 · 11/11/2017, 01:48 PM
https://anaconda.org/anaconda/qtpy #QtPy is a small abstraction layer that lets you write applications using a single api call to either #PyQt or #PySide.
@djangoproject · Post #382 · 07/12/2017, 09:20 PM
https://wiki.python.org/moin/PyQt #PyQt is one of the two most popular Python bindings for the #Qt cross-platform #GUI/#XML/#SQL#C++ framework (another binding is #PySide).
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@djangoproject · Post #513 · 11/30/2017, 10:00 PM
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