As the intent is to provide a very thin wrapping layer and play to the strengths of the original c++ library as well as python, the approach to wrapping intentionally adopts the following guidelines: ...
Python bindings for ik_llama.cpp — a high-performance fork of llama.cpp with faster CPU inference, novel quantization types (Trellis / IQK quants), and AVX-VNNI / AVX-512 optimizations. Designed as a ...
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