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Source channel @githubtrending · Post #14974 · Jul 19

#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp

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djangoproject

@djangoproject · Post #577 · 03/02/2018, 07:28 PM

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http://www.django-rest-framework.org/api-guide/authentication/#tokenauthentication #Authentication is the mechanism of associating an incoming request with a set of identifying credentials, such as the user the request came from, or the token that it was signed with. The permission and throttling policies can then use those credentials to determine if the request should be permitted. #REST framework provides a number of authentication schemes out of the box, and also allows you to implement custom schemes. #Django_REST_Framework#Django#DRF

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djangoproject

@djangoproject · Post #589 · 03/29/2018, 06:38 AM

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http://books.agiliq.com/projects/django-api-polls-tutorial/en/latest/ Building #APIs with #Django and #Django_Rest_Framework(#DRF) Introductions Setup, Models and Admin A simple API with pure Django #Serializing and Deserializing Data Views and Generic Views More views and viewsets #Access_Control #Testing and Continuous Integeration Testing and Using API with Postman Documenting APIs (with Swagger and more)

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