#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
#DYDX/USDT analysis :
#DYDX has broken through the trendline after bouncing back from the support zone. The price is expected to maintain its bullish momentum and test higher levels moving forward.
TF : 4H
Entry : $1.0456
Target : $1.2576
SL : $0.8977