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@aboosamaelharbi: الشيخ محمود سلمان الحلفاوى ما تيسر من سورة طه والنجم ((اللَّهُ لَا إِلَٰهَ إِلَّا هُوَ)) #القران_الكريم #القران_الكريم_راحه_نفسية😍🕋 #القران #quran #quran_alkarim #quranrecitation #quranvideo #الحلفاوي #الشيخ_محمود_سلمان_الحلفاوي #الشيخ_محمود_الحلفاوي

Aboosamaelharby
Aboosamaelharby
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Region: KW
Friday 24 April 2026 10:00:00 GMT
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sadeeqkhan330
🐯 garibo ka Raghu bhai ☠️ :
🥰🥰🥰
2026-04-24 15:37:00
0
user320681446
Ahmed Mohamed :
🥰🥰
2026-07-10 14:31:28
0
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Áo xinh cho bé đi học#shopnhungkisd #duoctaitro #quangcao #quanaochobe #vid
Áo xinh cho bé đi học#shopnhungkisd #duoctaitro #quangcao #quanaochobe #vid
Кзыл-Орда 20 век и это наша история, история нашего города! #казахстан #кызылорда #мояорда #история #память
Кзыл-Орда 20 век и это наша история, история нашего города! #казахстан #кызылорда #мояорда #история #память
#футажстекстом #музыка #песня #musik #song
#футажстекстом #музыка #песня #musik #song
literally ignored him and he still looked at me like that😭 my shayluh😭
literally ignored him and he still looked at me like that😭 my shayluh😭
A 2.78-trillion-parameter model just ran on one CPU with 8.24 GB of RAM. The catch: Kimi K3 did not shrink to 8 GB. Its 1.56 TB checkpoint stays on disk. Because Kimi K3 is a mixture-of-experts model, only 16 of 896 experts activate per token. A 176 KB C99 engine streams those expert weights from NVMe and moves the 108.81 GB trunk through RAM one layer at a time. No GPU. No CUDA. No framework. But this is a capacity proof, not a practical chatbot setup: the 8 GB run takes about half a minute per token and still needs Linux x86-64, AVX2 + FMA, and about 1.7 TB of fast local storage. The engine is Apache-2.0 open source. Kimi K3's weights remain under Moonshot's separate Kimi K3 License. Save this if you care about local AI systems—and subscribe to Bleeding Edge AI for AI, software, and entrepreneurship without the noise. Link in bio. #AI #OpenSource #LocalAI #MachineLearning #KimiK3
A 2.78-trillion-parameter model just ran on one CPU with 8.24 GB of RAM. The catch: Kimi K3 did not shrink to 8 GB. Its 1.56 TB checkpoint stays on disk. Because Kimi K3 is a mixture-of-experts model, only 16 of 896 experts activate per token. A 176 KB C99 engine streams those expert weights from NVMe and moves the 108.81 GB trunk through RAM one layer at a time. No GPU. No CUDA. No framework. But this is a capacity proof, not a practical chatbot setup: the 8 GB run takes about half a minute per token and still needs Linux x86-64, AVX2 + FMA, and about 1.7 TB of fast local storage. The engine is Apache-2.0 open source. Kimi K3's weights remain under Moonshot's separate Kimi K3 License. Save this if you care about local AI systems—and subscribe to Bleeding Edge AI for AI, software, and entrepreneurship without the noise. Link in bio. #AI #OpenSource #LocalAI #MachineLearning #KimiK3
#youngho #bop #ukteen #british #fyp
#youngho #bop #ukteen #british #fyp

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