Well, I was looking for any excuse to upgrade to AM5, so I think this qualifies. Question: if I already have a previous version .llamafile, is there a way to r

Well, I was looking for any excuse to upgrade to AM5, so I think this qualifies. Question: if I already have a previous version .llamafile, is there a way to repack the model blob with the new llamafile executable? That is, say I have mixtral_llamafilev6 promote to mixtral_llamafilvev7? From the release page - Prompt evaluation now goes much faster on CPU. For example, f16 weights on Raspberry Pi 5 are now 8x faster. These new optimizations mostly apply to F16, BF16, Q8_0, Q4_0, Q4_0, and F32 weights. Depending on the hardware and weights being used, we've observed llamafile-0.7 going anywhere between 30% to 500% faster than llama.cpp upstream. ... - Support for AVX512 has been introduced. Owners of CPUs like Zen4 can expect to see 10x faster prompt eval times.