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@beautybar_365:

Beautybar_365
Beautybar_365
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Region: NG
Tuesday 07 July 2026 08:09:34 GMT
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ifediora.obereagu
Obereagu Ifediora :
mama Ejima worldwide power 💃💃💃
2026-07-07 08:47:07
1
ucfabrics1
U C Fabrics and more :
Nmem you too fine
2026-07-07 08:50:11
1
iserameiya.possib
Iserameiya Possible :
Beautiful Angel
2026-07-08 13:20:48
0
ijeomaqueen2
Undefeatable queen :
Anaghi ama aka Asa
2026-07-07 10:18:56
0
opara.daniel
Daniel :
😂😂😂😂😂
2026-07-13 14:23:29
0
iserameiya.possib
Iserameiya Possible :
🥰
2026-07-08 13:20:42
0
zara_kiddies_enug
Enugu kiddies store :
😂😂😂😂
2026-07-07 15:00:27
0
ndubuisi_johndon
NDUBUISI J. DON :
❤️
2026-07-14 01:26:25
0
To see more videos from user @beautybar_365, 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
Cos: Waraku Chise | Blue Archive ✓ #cutebaby #cosplay #warakuchise #bluearchive #foryou
Cos: Waraku Chise | Blue Archive ✓ #cutebaby #cosplay #warakuchise #bluearchive #foryou
Film remake horor munafik versi indo yang akan tayang pada tanggal 3 September 2026 di bioskop #munafikmelawaniblis #bahayajadimunafik #munafiknyaindo #fyp #editfilm #film #rekomemdasifilm #hororindonesia #filmhoror #filmindonesia #fyppp #tiktokedit #filmmunafik #filmmunafikindonesia #filmhororindonesia #genrehoror #aryasaloka #misteri
Film remake horor munafik versi indo yang akan tayang pada tanggal 3 September 2026 di bioskop #munafikmelawaniblis #bahayajadimunafik #munafiknyaindo #fyp #editfilm #film #rekomemdasifilm #hororindonesia #filmhoror #filmindonesia #fyppp #tiktokedit #filmmunafik #filmmunafikindonesia #filmhororindonesia #genrehoror #aryasaloka #misteri
مباراه🆚 مان سيتي💢في الدوري الانجليزي#المنتزه #كرة_القدم_عشق_لا_ينتهي👑💙 #منشسترستي #هلاند🇧🇻 #انتشار_سريع
مباراه🆚 مان سيتي💢في الدوري الانجليزي#المنتزه #كرة_القدم_عشق_لا_ينتهي👑💙 #منشسترستي #هلاند🇧🇻 #انتشار_سريع
#احذروا_المادة_الخبيثة_منتشرة_بين_الطلاب_ . #الاصفر_بالبايو
#احذروا_المادة_الخبيثة_منتشرة_بين_الطلاب_ . #الاصفر_بالبايو

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