@beed08:

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Friday 08 November 2024 10:20:54 GMT

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⚚ال⚚فخا⚚مـهـ⚚ :

اللهم امين يارب العالمين

2024-11-25 19:50:48

1

Amine Alaoui99 :

اللهم آمين يارب العالمين

2024-11-13 10:35:18

1

عهود العنزي ✨💕 :

اللهم امين 🕊️🕊️🤲🏻

2024-11-16 16:42:38

1

sabah.bana :

اللهم بحرمة هذه ليلة جمعة المبارك اغفر لهم وارحمهم اللهم اجعل قبورهم روضة من رياض الجنة ونور ووسع قبرهم يارب زد من حسناتهم يارب اغفر لهم واعفو عنهم

2024-11-14 17:49:51

1

ماء الورد :

الله يرحمك ويجعل مثواك الجنه يا اخويا 💔💔

2024-11-21 20:58:31

1

اللهم ارحم أمي واغفر لها :

🤲امين

2025-01-07 21:33:44

1

جرحك يازمن قاسي :

اللهم امين يارب العالمين والصلاه والسلام على رسول الله صلى الله عليه وسلم

2024-11-09 04:07:38

1

ناصر :

اللهم آمين يارب العالمين

2024-11-16 03:57:09

1

wwwطه الزعيم :

اللهم آمين يارب العالمين

2024-11-11 18:22:54

1

صبر السنين455 :

اللهم امين يارب العالمين

2024-11-10 20:16:40

1

❤️❤️ :

اللهم امين

2024-12-05 00:44:06

1

[Hello] :

اللهم امين

2024-11-08 16:03:33

1

dy8ss522rf0g :

اللهم امين يارب العالمين

2024-11-09 16:50:44

1

زيزي :

اللهم امين يارب العالمين

2024-11-29 22:08:59

1

بنت الرشيدي :

اللهم امين يارب العالمين

2024-11-08 20:53:23

1

صبر السنين455 :

💔💔💔

2024-12-22 00:07:21

1

ام شهيد فيصل العريبي :

🤲🤲🤲🤲🤲🤲🤲🤲😭💔

2024-11-10 19:36:27

1

جرحك يازمن قاسي :

😥😥😥😥

2024-11-09 04:08:01

1

عمراحمدالانصاري :

الله يرحمهم ويغفر لهم ويسكنهم الفردوس الاعلى من الجنه اللهم اغفر للمؤمنين والمؤمنات والمسلمين والمسلمات الاحياء منهم والاموات

2025-01-31 13:30:33

1

غدر بية العشك حبيت بوية ومات،، :

الهم امين يارب العالمين ارحم ابي واخي يارب العالمين

2024-11-29 20:00:50

1

ابو غريب :

اللهم ارحم امي واغفرلها وأسكنها الفردوس الأعلى من الجنة و جميع المسلمين والمسلمات والمؤمنين والمؤمنات الأحياء منهم والأموات اللهم امين يارب العالمين

2024-11-13 19:28:38

1

ابوخالد🌹 :

اللهم امين

2024-11-11 12:21:37

0

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Wondering which local AI model your computer can actually run without crashing or lagging? If you're new to local LLMs, you’ve probably seen model names like Mistral, Llama, or Llama, but no idea which ones work on your hardware, or even how to choose. In this tutorial, I’ll show you a fast and beginner-friendly method to identify the best-performing local AI models for your exact setup, using LM Studio, Perplexity, and Hugging Face. Better yet, it'll save you from downloading models that are a bad fit for your hardware and your specific goals with local AI. One of the best things about local AI is the huge choice of models, many of which are specialist - this method lets you quickly find the right tool for the task without getting bogged down in the details. This is the exact process I use: Check your system specs in LM Studio (RAM, VRAM, CPU support like AVX/AVX2) Paste your hardware info into an AI prompt Get a filtered list of compatible local AI models How to use Hugging Face filters to find models (text generation, size, architecture) How to install and test those models in one click using LM Studio’s built-in downloader No more guessing. No more downloading the wrong model and wondering why it’s slow or crashing. This method gives you a quick way to match model size, capability, and latency (speed) to your machine whether you're on a laptop, desktop, or dedicated local box. #ai #artificialintelligence #learnai #aitips #llm

Wondering which local AI model your computer can actually run without crashing or lagging? If you're new to local LLMs, you’ve probably seen model names like Mistral, Llama, or Llama, but no idea which ones work on your hardware, or even how to choose. In this tutorial, I’ll show you a fast and beginner-friendly method to identify the best-performing local AI models for your exact setup, using LM Studio, Perplexity, and Hugging Face. Better yet, it'll save you from downloading models that are a bad fit for your hardware and your specific goals with local AI. One of the best things about local AI is the huge choice of models, many of which are specialist - this method lets you quickly find the right tool for the task without getting bogged down in the details. This is the exact process I use: Check your system specs in LM Studio (RAM, VRAM, CPU support like AVX/AVX2) Paste your hardware info into an AI prompt Get a filtered list of compatible local AI models How to use Hugging Face filters to find models (text generation, size, architecture) How to install and test those models in one click using LM Studio’s built-in downloader No more guessing. No more downloading the wrong model and wondering why it’s slow or crashing. This method gives you a quick way to match model size, capability, and latency (speed) to your machine whether you're on a laptop, desktop, or dedicated local box. #ai #artificialintelligence #learnai #aitips #llm

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