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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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@ai_match_prediction · Post #11806 · 04/29/2026, 09:05 AM
Netherlands Eredivisie🇳🇱 2026-04-29 16:45 UTC Den Bosch vs. Almere City FC Predicted outcome: Den Bosch❌ Predicted score: 2:1 Actual: Almere City FC 2:3 #DenBosch#AlmereCity #Football#Eredivisie
@ai_match_prediction · Post #11846 · 05/02/2026, 05:05 AM
Netherlands Eredivisie🇳🇱 2026-05-02 12:00 UTC Almere City FC vs. Den Bosch Predicted outcome: Den Bosch❌ Predicted score: 1:2 Actual: Almere City FC 3:0 #AlmereCity#DenBosch 2026-05-02 14:30 UTC Utrecht vs. NAC Breda Predicted outcome: Utrecht✅ Predicted score: 2:1 Actual: Utrecht 2:0 #Utrecht#Breda 2026-05-02 16:45 UTC Groningen vs. Excelsior Predicted outcome: Groningen❌ Predicted score: 2:1 Actual: Excelsior 2:3 #Groningen#Excelsior 2026-05-02 18:00 UTC Ajax vs. PSV Eindhoven Predicted outcome: Ajax❌ Predicted score: 3:2 Actual: Draw 2:2 #Ajax#PSVEindhoven 2026-05-02 19:00 UTC NEC Nijmegen vs. Telstar Predicted outcome: NEC Nijmegen❌ Predicted score: 2:1 Actual: Draw 1:1 #NECNijmegen#Telstar #Football#Eredivisie