#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
#African experts meet in #Rwanda for continental textile standardization
African experts have convened in the Rwandan capital #Kigali for the Technical Committee (#TC 53) meeting on the standardization of textiles, textile products, and accessories.
The forum, which ran from Tuesday to Friday, focused on finalizing agreements and establishing key standards and labeling systems for the textile sector, with the aim of strengthening trade and supporting economic growth within the continent's textile industry.
Hermogene Nsengimana, secretary general of the African Organisation for Standardization (#ARSO), highlighted that Africa still faces a significant gap in developing common quality standards.
He added that currently, only about 25 percent of the standards required for all products in the African common market have been established.
Nsengimana said that ARSO has set a target to significantly reduce this gap within the......
https://english.news.cn/africa/20260307/6634375ed4a4474cab2c20d0c4a31253/c.html
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