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Source channel @githubtrending · Post #14974 · Jul 19
#cplusplus ik_llama.cpp is an improved version of llama.cpp that runs faster on CPUs and hybrid GPU/CPU setups. It supports many new advanced quantization methods, which help models use less memory and run more efficiently. It also offers better performance for special models like DeepSeek and MoE, with faster prompt processing and token generation. You can run it on various hardware, including Android, and it has features to control where model data is stored (CPU or GPU). This means you get quicker AI responses and can handle bigger or more complex models smoothly on your computer or device[2][1][4]. https://github.com/ikawrakow/ik_llama.cpp
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@werewolfid · Post #166 · 02/20/2017, 12:59 PM
Werewolf Programer ID Grup game yang dikhususkan bagi programmer, blogger. Bukan programmer gak masalah sih. Intinya Enjoy dehhh. Juga jadi tempat sharing berbagai info nihh. Tanya Jawab tentang software n hardware ?? Monggo! <>Welcome To WPID<> Have Fun!! 📍@WWProgamer #Indonesia#WPID#programmer
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@dasturlash_hayoti · Post #3990 · 10/05/2025, 06:58 AM
#DasturlashHayoti#LearnToCode#Programmer Har bir dasturchi bilishi kerak bo‘lgan 5 ta bepul manba 🆓Pul to‘lamasdan bilim olishning eng zo‘r manbalari: 1️⃣FreeCodeCamp — front-end’dan tortib back-end’gacha 2️⃣roadmap.sh — qaysi yo‘nalishdan boshlashni aniq ko‘rsatadi 3️⃣Frontend Mentor — haqiqiy dizayn asosida kod yozish mashqi 4️⃣CSS Battle — o‘yin orqali CSS o‘rganasiz 5️⃣DevDocs — barcha texnologiyalar hujjatlari bitta joyda Bilim — eng yaxshi investitsiya. Ayniqsa, pulsiz bo‘lsa yanada yoqimli 😄 Shunaqa postlar davom etsin desangiz, ulashib qo‘ying — birga o‘rganamiz! 💪 💻@dasturlash_hayoti— Dasturchilar uchun eng kerakli maslahatlar va foydali kontent