7 ms·
How many tok/s are you getting? What gen mbp?
by alexchantavy 25d ago
How many tok/s are you getting? What gen mbp?
- dominotw 25d agoi suspect ppl dropping generic "its awesome" comments are not actually using it and prbly just managed to get it running for a prompt or two.
- petcat 25d agoYeah, that's my experience. It's a big "wow" factor to get a non-trivial LLM running on my Mac, but it's actually not that useful. Like trying to use Photoshop at 8 FPS.
- coldtea 25d agoRegarding this analogy, fps don't matter as much for Photoshop, since it's not an immediate mode GUI. 8 fps would be quite ok for comfortably getting feedback on live image filters and such.
- LeBit 25d agoIt’s not because you didn’t find use cases for local LLMs that there are none. I use local LLMs on my Mac Mini M4 Pro with 48G to review text messages tone, act as a text correction tool, act as a code review tool, to do code agent work, generate code snippets, etc Gemma 4 26B A4B gives me steady 20 tps.
- FireCrack 25d agoI feel like it's 50/50 between people doing that, and people that have spent a lot of time tuning a system they are pointing at focused and well specified problems.
- mistersquid 25d agoSeems threads about local LLMs on Apple hardware feature comments listing M3/4/5 at 48GB 64GB and not 128GB. That is, users with M-series hardware that have less-than-max RAM share results whereas users with max RAM do not. Speculating (not extrapolating), maybe users with machine that have max RAM are less interested in running local LLMs and are less averse to paying services for compute? Personally, I’d love to see what output max RAM M-series Apple hardware in these threads.
- asats 25d agoQwen3.8-27B runs at 59.5 tok/s on my M4 Max, 40-core GPU, 128 GB I use it occasionally for classification and other tasks but I wouldn't trust those smaller models with the real work and for larger data processing it's too slow, e.g. a dataset I wanted to classify would've taken 56 days on my laptop vs just paying the cheap Luna prices to openai and getting it done in a few hours.
- try-working 25d agoNot sure I would trust Luna with that. Deepseek Pro Max and Code Mode I would be more inclined to trust.
- pumanoir 24d ago59.5 t/s is really good. Which engine/quant are you using?
- asats 23d ago[dead]
- digikata 25d agoI've been using Qwen3.6-37B-A3B on an M1 Max w/ llama.cpp and for my practical uses I prefer it to qwen3.8. When 3.8 does answer its slower and, qualitatively, marginally better than qwen3.6, but 3.8 often ends up in unresolved thought loops and runs slower. The Moe 3.6 on my setup is much faster, 500t/s peaks, 30t/s typical, vs 3.8 150 peak, 4-9 t/s typical. While I've spend a little time tuning, I'm assuming there will be deeper tuning for 3.8 that might close the gap.
- mattdw 25d agoMy M4 Pro 48GB gets about 13tok/s, in both 3.6 and 3.8 27b Qwens. Qwen A3B and Gemma get closer to 100tok/s from memory but the results are pretty poor for coding tasks. Edited to add: for agentic workflow I’m running omlx which tells me it has about a 90% cache hit rate (tradeoff is some disk and mem space) - that noticeably changes the felt speed.
- MrScruff 25d agoI get around 20 tok/s, 4 bit quant, MTP, 4 bit KV cache quantisation. On an M4 Pro 48Gb.
- a11r 25d agoM3 Pro 36GB. I am getting 17 tps with MTPLX.