Comment by yieldcrv
8 hours ago
heyyy same, checkout kapitsa as the inference engine, gets 145+ tokens/sec
https://github.com/nace-ai/kapitsa
this machine just keeps getting better and better in the inference world. the memory bandwidth is too good, newer macbook pros aren't that much faster in memory bandwidth, many are slower. not enough to upgrade yet as they're mostly horizontal upgrades, the improvements in other areas are adding up like wifi bandwidth and protocol, NVMe speeds, webcam
if they do the M7 correctly: which is just everything their current models do plus way faster memory bandwidth and much greater memory possible 192GB+, then it will be a really great and timely upgrade
> improvements in other areas are adding up like … webcam
Has the webcam changed or improved in the last couple years? It seems to still have the same webcam specs as the M4?
Here are the numbers that got me buying a used M1 Max for LLM work.
Only Max are worthwhile for LLMs. An Ultra is just two Mac chips on a die, but I think they're just used in Mac Studio.
I'll check it that inference engine! Thanks!
Edit: it doesn't give numbers for unsloth/Qwen-3.6-35B-A3B 4bit, but I'm using mlx-serve right now and getting petty good numbers (and it took a while to tweak everything properly!)
it has just a few models it can download, it's really qwen and apple silicon pilled
it has unsloth on the list of 3.6 35b variants only on the 2-bit unsloth UD-IQ2_XXS GGUF variant
I'd say let it down 4-bit Qwen 3.6 35b again and see what how it performs in both benchmarks and your preferred conversational and agentic harness
it's Kflash verifier is competing against MTP and Dflash2, thats where the additional novelty is