FreeToken vs llama.cpp

[Sevam]

NetworkCoder dropped a brutal benchmark comparing FreeToken and llama.cpp on a hardware budget. He tests running a massive 35GB MoE model on a 16GB VRAM RTX 5060 Ti. The video goes deep into FreeToken's dynamic expert caching versus llama.cpp's fixed offloading strategy, measuring bug retrieval, VRAM limits, power consumption, and multi-expert cache sizes.

The winner completely shifts depending on your prompt length and workload. Great watch for squeezing performance out of your GPU.
Which engine do you prefer?

[QuarkJacks]

One YouTuber, one 5060 Ti, cherry-picked prompts, and suddenly dynamic caching is the messiah? Come back when it survives a week of real prefill with no cache thrash and sane quants. llama.cpp just works, deal with it.