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@user7775471021624: الشيخ كشك. المؤمن لابد يتلقا شدائد

الشيخ كشك
الشيخ كشك
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Region: EG
Monday 12 October 2026 18:51:14 GMT
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Comments

mohamad.mustafa70
Mohamad Mustafa :
لا أله ألا لله
2026-10-13 15:45:56
0
shamel.naguib.allam
SHamel .NAGUIB ALLAM :
الحمد للة علي كل شيء
2026-10-12 23:49:26
0
khalidahmed6326
khaled :
الحمد لله رب العالمين ❤️
2026-10-13 13:58:26
1
omerabutella
الحب والظروف :
عليه أفضل الصلاة والسلام
2026-10-12 18:56:54
1
fatih.fatih.13
fatih fatih 13 :
😭😭😭
2026-10-15 19:43:45
0
usefalhawari111
يوسف الهواري 111🇸🇩✌ :
🥰🥰🥰
2026-10-12 18:58:35
0
user6147397128016
عمراسحاق💚🇹🇩🇵🇸🇪🇬🇹🇳 :
🤲🤲🤲
2026-10-13 07:30:00
0
user9211354723476
محمدزين احمد :
🥰🥰🥰
2026-10-12 22:42:17
0
user5986228265191
سيف البحر :
🥰🥰🥰
2026-10-13 14:49:49
0
user3p7cysiiwh
احمد ابو حماصه599 :
اللهم صل وسلم وبارك على سيدنا محمد وعلى اله وصحبه اجمعين
2026-10-12 21:29:16
0
abdeljalil.kharij
abdeljalil khariji :
اللهم صلي وسلم وبارك على سيدنا وحبيبنا محمد رسول الله صلى الله عليه وآله وصحبه وسلم تسليما كثيرا طيبا مباركا فيه إلى يوم الدين
2026-10-13 21:56:38
0
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Other Videos

||есть пробитие||Вадим-эдит||быстро зделал по этому фигня|| ||пж залети||#батек #вадимдомой #вадик #edit
||есть пробитие||Вадим-эдит||быстро зделал по этому фигня|| ||пж залети||#батек #вадимдомой #вадик #edit


chân ái của mint nhà mình nè #suacongthuc #aptamil #meapta
chân ái của mint nhà mình nè #suacongthuc #aptamil #meapta


It's a 120B mixture-of-experts model with 12B active per token, reading text, images and video with a 1M-token context. Artificial Analysis ranks it #1 of 67 open models its size (26), 10 points above the same-size Qwen3.5-122B. In NVIDIA's table it beats that Qwen on agent work like Terminal-Bench 2.1 (66.7 vs 48.7) and BrowseComp (78 vs 58.1). NVIDIA says it hits 600+ tokens/s on agentic tasks, and the NVFP4 version runs on a DGX Spark. License is OpenMDW: use it, change it, sell it. The catch: it's efficient, not frontier. Qwen3.8-Flash-Next scores 40 on the same index, and on vision it trails the same-size Qwen. #NVIDIA #Nemotron #OpenSourceAI #OpenWeights #AIAgents #LLM
It's a 120B mixture-of-experts model with 12B active per token, reading text, images and video with a 1M-token context. Artificial Analysis ranks it #1 of 67 open models its size (26), 10 points above the same-size Qwen3.5-122B. In NVIDIA's table it beats that Qwen on agent work like Terminal-Bench 2.1 (66.7 vs 48.7) and BrowseComp (78 vs 58.1). NVIDIA says it hits 600+ tokens/s on agentic tasks, and the NVFP4 version runs on a DGX Spark. License is OpenMDW: use it, change it, sell it. The catch: it's efficient, not frontier. Qwen3.8-Flash-Next scores 40 on the same index, and on vision it trails the same-size Qwen. #NVIDIA #Nemotron #OpenSourceAI #OpenWeights #AIAgents #LLM
#MetalDetecting #GoldHunt #LuckyFind #HiddenTreasure #TreasureFound
#MetalDetecting #GoldHunt #LuckyFind #HiddenTreasure #TreasureFound

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