@_bondokk_: 😞😞😞😞

ᴮᴼᴺᴰᴼᴷ || بــــندق
ᴮᴼᴺᴰᴼᴷ || بــــندق
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Region: EG
Thursday 15 October 2026 00:52:51 GMT
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bassant.kadash
𝓑𝓪𝓼𝓪𝓷𝓽 ♡ :
لا المكان مكاني ولا الحرب حربي.. ❤️‍🩹
2026-10-15 06:37:05
2
3..w..a
﮼البرازيلي🇧🇷 :
2026-10-15 00:58:08
1
asjm49
اسـلام Eslam❤👑 :
بندق البلد❤️‍🩹💯
2026-10-15 01:38:52
1
ahmed..hossem
(𝓐𝓗𝓜𝓔𝓓🥇🦅) :
دمرنا يعم بندق❤️‍🩹😅
2026-10-15 01:31:13
1
eldrafly
درافلي :
يسطا مش هنساها كدا
2026-10-15 00:59:26
1
hamadazidan95
Hamada Atef :
بالضبط والله ي بندق💔
2026-10-15 04:42:35
0
iros784
💅🏻𝑳𝒊𝒔𝒂 \لَيسا 🐆 :
2026-10-15 00:58:39
1
so_11333
إيـﮯ𓋹سو🌟 :
2026-10-15 01:49:20
1
ahmed_salah_0000
راموس_الغلابه♥️🇪🇬 :
ربنا يكرمك ي قلب اخوك
2026-10-15 01:15:32
0
lingozidan
𝕷𝖊𝖓𝖌𝖜𝖊𝖓𝖓𝖎🐺🖤 :
يسطا حرام عليك والله
2026-10-15 04:25:13
0
mahmoudabdelhammid
Mahmoud Abdelhamed :
عشان متحاربش تاني 😂
2026-10-15 05:55:29
0
bilal..261
¥𓊈Bolla𓊉🇧🇷 :
💔
2026-10-15 06:58:33
0
zekra12122
Zekra🚶🏻‍♀️‍➡️❤️‍🩹 :
2026-10-15 04:48:11
0
samah.abdou11
🥀Samah 🥀 :
يارب تكرها يارب يارب 😭😭😭😭
2026-10-15 01:04:56
2
mrmahmoudahmad
مــــحمــــود 🇪🇬 𓂆 :
المفروض الاكونت ده يبقي اسمه "هسمعك الحته اللي بتوجعك"
2026-10-15 06:29:15
1
mito.zaki1
Mito 🇪🇺 :
2026-10-15 01:07:14
1
shd12345z
✨ :
عاوزه تعمل ريبوست بس مش هينفع😂
2026-10-15 07:26:54
0
hindelmasry63
𓆩♡ هَــنــد ♡𓆪 :
❤️❤️❤️
2026-10-15 00:59:56
1
ibrahim_alafandy
Ibrahim alafandy  :
♥️♥️♥️
2026-10-15 00:59:10
1
To see more videos from user @_bondokk_, please go to the Tikwm homepage.

Other Videos

Unsloth now trains LLMs on AMD GPUs — fine-tune local AI models on a Radeon, Ryzen AI laptop, or Instinct card. 500+ models, 3GB VRAM minimum, 2x faster training, 70% less VRAM, and it runs on Windows, WSL, and Linux. ---- 🚀 DYNAMOUS AI COMMUNITY Want to learn agentic coding with live daily events and workshops? Check out Dynamous AI: https://dynamous.ai/?code=646a60 Get 10% off here 👉 https://shorturl.smartcode.diy/dynamous_ai_10_percent_discount ⚡ HOSTINGER — RELIABLE HOSTING FOR YOUR PROJECTS (10% OFF) Whether you're shipping a portfolio, a side project, n8n flows, or AI agents — I use Hostinger for fast, affordable VPS + web hosting. Get 10% off here 👉 https://hostinger.com/DIYSMARTCODE (Affiliate link — costs you nothing, supports the channel.) ---- What you will see in this 80-second breakdown: → Unsloth adds AMD support — train and fine-tune LLMs without an NVIDIA card → Which hardware works: Radeon RX 9000 / 7000 / 6000, Ryzen AI laptops, Instinct MI300 / MI350 → As little as 3GB of VRAM to fine-tune a small model on a card you already own → 500+ models, up to 2x faster training, 70% less VRAM, no accuracy loss → Runs on Windows, WSL, and Linux — export to GGUF, safetensors, or a LoRA adapter, then wire it into Claude Code → One-line install: curl the script and start fine-tuning on your own machine Unsloth AMD docs: https://unsloth.ai/docs/basics/amd Unsloth GitHub: https://github.com/unslothai/unsloth For years, fine-tuning a model meant one thing: an NVIDIA card. Unsloth just knocked that wall down — so here's the real question. Does training on your own AMD hardware finally break NVIDIA's grip on AI, or is CUDA still too far ahead? Radeon or GeForce — which one are you training on? Drop it in the comments. #Unsloth #AMD #AMDGPU #Radeon #LLM #LocalAI #FineTuning #MachineLearning #AI #OpenSourceAI #ROCm #RyzenAI #AMDInstinct #ArtificialIntelligence #LLMTraining #AICoding #DeepLearning #Gemma #ClaudeCode #DevTools #LocalLLM #AMDdeveloper
Unsloth now trains LLMs on AMD GPUs — fine-tune local AI models on a Radeon, Ryzen AI laptop, or Instinct card. 500+ models, 3GB VRAM minimum, 2x faster training, 70% less VRAM, and it runs on Windows, WSL, and Linux. ---- 🚀 DYNAMOUS AI COMMUNITY Want to learn agentic coding with live daily events and workshops? Check out Dynamous AI: https://dynamous.ai/?code=646a60 Get 10% off here 👉 https://shorturl.smartcode.diy/dynamous_ai_10_percent_discount ⚡ HOSTINGER — RELIABLE HOSTING FOR YOUR PROJECTS (10% OFF) Whether you're shipping a portfolio, a side project, n8n flows, or AI agents — I use Hostinger for fast, affordable VPS + web hosting. Get 10% off here 👉 https://hostinger.com/DIYSMARTCODE (Affiliate link — costs you nothing, supports the channel.) ---- What you will see in this 80-second breakdown: → Unsloth adds AMD support — train and fine-tune LLMs without an NVIDIA card → Which hardware works: Radeon RX 9000 / 7000 / 6000, Ryzen AI laptops, Instinct MI300 / MI350 → As little as 3GB of VRAM to fine-tune a small model on a card you already own → 500+ models, up to 2x faster training, 70% less VRAM, no accuracy loss → Runs on Windows, WSL, and Linux — export to GGUF, safetensors, or a LoRA adapter, then wire it into Claude Code → One-line install: curl the script and start fine-tuning on your own machine Unsloth AMD docs: https://unsloth.ai/docs/basics/amd Unsloth GitHub: https://github.com/unslothai/unsloth For years, fine-tuning a model meant one thing: an NVIDIA card. Unsloth just knocked that wall down — so here's the real question. Does training on your own AMD hardware finally break NVIDIA's grip on AI, or is CUDA still too far ahead? Radeon or GeForce — which one are you training on? Drop it in the comments. #Unsloth #AMD #AMDGPU #Radeon #LLM #LocalAI #FineTuning #MachineLearning #AI #OpenSourceAI #ROCm #RyzenAI #AMDInstinct #ArtificialIntelligence #LLMTraining #AICoding #DeepLearning #Gemma #ClaudeCode #DevTools #LocalLLM #AMDdeveloper

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