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@junaidedits64: Fakhar Zman Hundred Moments Emotional Moments#foryoupage #crickethighlights #viralvideo #unfrezzmyaccount #crickethighlight

JUNAID EDTIZ ✅
JUNAID EDTIZ ✅
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Saturday 31 October 2026 15:01:06 GMT
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zohaib.khankhel4
Zohaib Khankhel-👑 :
big match player of Fahar zaman
2026-10-31 16:12:27
2
malikinaam88
Malik Inaam :
alhumdulillah
2026-10-31 16:47:01
0
ibrahimr1234khan
ik :
I love
2026-10-31 17:25:58
0
waseem3728
Malik waseem :
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2026-10-31 15:25:54
0
pashasportsonline
TAYYAB ALI😘 :
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2026-10-31 15:46:37
0
saqlain.arian
awesome 🌹🌹🌹🥀🥀🥀💗💗 :
no
2026-10-31 15:27:50
0
user4272002500309
zaheer 113 :
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2026-10-31 18:08:32
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2026-10-31 17:48:07
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Ali. bux. :
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2026-10-31 18:04:04
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nilo jaan :
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2026-10-31 18:04:00
0
dr.malik.danish743
Dr.Malik Danish :
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2026-10-31 18:03:58
0
sahil77884
Sahil Jan 🥰H ❤️ :
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2026-10-31 18:03:06
0
sahil77884
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2026-10-31 18:03:04
0
sahil77884
Sahil Jan 🥰H ❤️ :
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2026-10-31 18:03:03
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rehankathia89ala
Rehan kathia :
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2026-10-31 17:58:28
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riazbajeerjaan
🙏RiaZ Jaan BaJeer 🙏❤ :
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2026-10-31 17:58:04
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aqeel.ali786
Aqeel Ali :
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2026-10-31 17:54:51
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amdad7591
amdad :
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2026-10-31 17:52:59
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dihjf5
⚔️🇵🇬⁹T⁹ مــافـــیا🇵🇬⚔️ :
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2026-10-31 17:51:54
0
user7390104037370
luqman langove :
[Red heart][Red heart][Red heart]
2026-10-31 18:04:49
0
m.a9368
M 💜A :
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2026-10-31 17:47:44
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bijar.ahmed4
bijar ahmed :
[Bow heart][Bow heart][Bow heart]
2026-10-31 17:47:14
0
hasnainlasi7
hasnainlasi7 :
[Heart eyes][Heart eyes][Heart eyes]
2026-10-31 17:47:02
0
amjaddeenari29
amjaddeenari29 :
❤️❤️❤️
2026-10-31 17:46:22
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sardaradii34
Sardar Adnan :
❤️❤️❤️
2026-10-31 15:03:41
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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


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