Models & Labs
llama.cpp adds EXAONE 4.5 implementations
llama.cpp Releaseshigh confidence
Why it matters
- →Enhances compatibility and performance for EXAONE 4.5 models.
- →Aligns with Qwen2.5-VL-style encode path for improved functionality.
- →Ensures robust model loading and tensor registration.
The b9453 release of llama.cpp brings significant updates with the addition of EXAONE 4.5 implementations. This includes new vision markers and projector paths, aligning with the Qwen2.5-VL-style encode path. The update focuses on improving model loading and tensor registration for EXAONE 4.5, ensuring better performance and compatibility. While no new models are introduced, the release enhances existing functionalities, particularly for developers using EXAONE models. This update is crucial for maintaining robust performance across diverse systems.
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