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ما هي أداة «عتادك مع الـ AI المجاني»؟
«عتادك مع الـ AI المجاني» أداة مجانية تعمل داخل متصفحك، تكتشف مواصفات جهازك وتخبرك مباشرة أي نماذج الذكاء الاصطناعي المفتوحة والمجانية يستطيع جهازك تشغيلها محليا، مع الصيغة المناسبة (Quantization) والسرعة المتوقعة وطريقة التشغيل عبر Ollama وLM Studio وllama.cpp وComfyUI.
كيف أعرف ما يشغّله جهازي من نماذج الذكاء الاصطناعي؟
- حدد جهازك: تتعرف الأداة على كرت الشاشة تلقائيا، ويمكنك اختياره يدويا من قاعدة تضم أكثر من 180 جهازا: كروت NVIDIA وAMD وIntel وApple Silicon وكروت اللابتوب والرسومات المدمجة والموبايل.
- اختر هدفك: دردشة أو برمجة أو توليد صور أو فيديو أو صوت أو ترجمة أو قراءة مستندات.
- احصل على التوصيات: أفضل النماذج لجهازك مع الصيغة (Q4 وQ5 وQ8) والسرعة التقريبية بالـ tok/s وزمن التحميل وأمر التشغيل.
كم ذاكرة VRAM تحتاج لتشغيل النماذج محليا؟
الذاكرة هي العامل الأهم لأن النموذج يجب أن يُحمّل فيها ليعمل بسرعة. هذه أمثلة تقريبية بصيغة Q4 وسياق قصير:
| ذاكرة الكرت | ما يمكن تشغيله تقريبا |
|---|---|
| 8 GB | نماذج حتى 7B–8B مثل Llama 3.1 8B وQwen3 8B |
| 12 GB | نماذج حتى 14B مثل Qwen3 14B وPhi-4 |
| 16 GB | نماذج 14B بجودة أعلى أو حتى 24B بسياق قصير |
| 24 GB | نماذج حتى 32B مثل Qwen2.5 32B وQwen2.5-Coder 32B |
| 48 GB فأكثر | نماذج حتى 70B بسياق متوسط |
هذه أرقام استرشادية؛ تتغير حسب الصيغة وطول السياق والأداة، والأداة أعلاه تحسبها لجهازك بدقة أكبر.
ماذا تقدم الأداة أيضا؟
- حاسبة Quantization: اكتب حجم أي نموذج لتعرف الذاكرة المطلوبة لكل صيغة.
- محاكاة الترقية: شاهد ما يتغير لو اشتريت كرتا أقوى قبل أن تدفع.
- مستشار الميزانية: أفضل كرت لتشغيل الذكاء الاصطناعي حسب ميزانيتك بالدولار أو بعملتك.
- النماذج العربية: نماذج متخصصة ومتعددة اللغات بدعم عربي، مع الترجمة والصوت والـ OCR.
- اختبر جهازك: قياس حقيقي داخل المتصفح لعرض نطاق الذاكرة وقوة الحوسبة.
أسئلة شائعة
ما أقل VRAM لتشغيل نماذج الذكاء الاصطناعي محليا؟
يمكن تشغيل نماذج صغيرة (1B إلى 4B) بذاكرة 4GB تقريبا، أما النماذج المتوسطة بحجم 7B إلى 8B بصيغة Q4 فتحتاج غالبا كرتا بذاكرة 8GB. كلما زادت الذاكرة قدرت على تشغيل نماذج أكبر أو بجودة أعلى.
هل أستطيع تشغيل الذكاء الاصطناعي بدون كرت شاشة؟
نعم، يمكن تشغيل النماذج الصغيرة على المعالج وذاكرة النظام RAM، لكن السرعة أقل بكثير. الأنسب نماذج حتى حوالي 8B بصيغة Q4 مع تحمل بطء التوليد.
ما الفرق بين Ollama وLM Studio؟
Ollama أداة سطر أوامر بسيطة وسريعة للبدء بأمر واحد، وLM Studio برنامج برواجهة رسومية لتحميل النماذج وتجربتها. كلاهما يشغل نماذج مفتوحة محليا بدون اتصال بعد التحميل الأول.
ما هو الـ Quantization ولماذا يهم؟
هو ضغط أوزان النموذج بدقة أقل لتقليل حجمه واستهلاك الذاكرة. صيغة Q4 هي الأكثر استخداما لأنها تعطي توازنا جيدا بين الجودة والحجم، بينما Q8 أقرب للجودة الأصلية وتحتاج ذاكرة أكبر.
هل الأداة تجمع بياناتي أو مواصفات جهازي؟
لا. كل الحسابات تتم داخل متصفحك، وتُحفظ إعداداتك في متصفحك فقط. لا يُرسل شيء لأي جهة إلا إذا اخترت مشاركة نتيجتك بنفسك.
ما أفضل نموذج مفتوح للغة العربية؟
يعتمد على جهازك واستخدامك. تضم الأداة نماذج عربية متخصصة مثل Jais وALLaM وFanar وSILMA، ونماذج متعددة اللغات بدعم جيد مثل Qwen3 وGemma 3 وAya Expanse. جرّب النموذج على نصوصك قبل الاعتماد عليه.