I can come close to agreeing because queen-3.6-27b is my second favorite for local coding. I am using gemma4:26b-a4b-it-qat-48k (the "-48k" is from my modifying a model run with Ollama to always use a 48K context size). On a 32G Mac I use gemma4:26b-a4b-it-qat-48k and OpenCode and on my 16G MacBook Air I use gemma4:12b-it-qat-16k ("-16k" is my resizing context size) and little-coder. I break up projects into small li…
Curious why OpenCode instead of a more 'full-fat' version of Pi with the larger model? I feel like the amount of context bloat that OpenCode puts these small models into the dumb zone too quickly. The system prompt alone is 9k tokens, and when you add your own setup it can easily creep up to 15k.
Qwen 3.6 27B is the sweet spot for local development
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Re: Qwen 3.6 27B is the sweet spot for local development
#512Is qwen finetuned/RL'd on any agent harness? Or does it just work well enough off the bat with opencode?
Re: Qwen 3.6 27B is the sweet spot for local development
#513I love my MacBook Pro M5 128GB RAM and I love qwen3.6. BUT DO NOT buy this MacBook if you plan on doing serious coding using local LLMs with it. The reason is simple: your fingers will burn and your head will explode from the noise. Running any kind of sophisticated job on the very laptop you are using is just not viable. Sure you can use it in clamshell mode, but forget touching it while working with AI coding or ag…
TBF, I just recently picked up this same model, and it's reminding me of the last gen Intel i9 MBP. Just visiting any non-basic website spins up the fans and battery life isn't great either. Yes, this thing is fast, but damn it gets hot just using it for normal tasks. Still, I don't agree. I think this machine is meant to use local models. You just have to wear pants if you want to keep it directly on your lap. I rar…
Re: Qwen 3.6 27B is the sweet spot for local development
#514I have been running qwen 3.6 35b a3b with opencode on my macbook pro 16" with m3 max and 64gb ram, and it's been great for local planning and coding. To be honest I have been on and off wishing I had future proofed with the 128gb after seeing how powerful 64gb is. On the other hand, I also haven't run up against a wall with a model that is just slightly larger than qwen.
I've also been running Qwen 3.6 35B A3b on my Windows laptop (64 GB RAM, a 4GB GPU) and it's at least tolerable. It's not fast - a few tokens per second, slower than reading speed - but I can give it a task and come back later. That was a $600 laptop off eBay a few years ago, not a $6,000 machine. Are these unified memory Macs and giant 24GB desktop GPUs achieving dozens or hundreds of tokens per second commensurate…
Re: Qwen 3.6 27B is the sweet spot for local development
#515I love my MacBook Pro M5 128GB RAM and I love qwen3.6. BUT DO NOT buy this MacBook if you plan on doing serious coding using local LLMs with it. The reason is simple: your fingers will burn and your head will explode from the noise. Running any kind of sophisticated job on the very laptop you are using is just not viable. Sure you can use it in clamshell mode, but forget touching it while working with AI coding or ag…
> MacBook Pro M5 128GB RAM 614 GB/s of memory bandwidth > MacMini M4 with 64GB of RAM 273 GB/s of memory bandwidth (also only currently available with 48GB) When it comes to inference speed, you want your model to fit in memory, and then to have as much memory bandwidth as possible. In this case a hypothetical Mini with 1TB of memory would still be over 2x slower with 27-35B models. And FWIW I have an M4 Max MBP 128G…
This is only true when your GPU isn't bottlenecked building a KV cache, which it usually will be on Apple Silicon. The Achilles heel of the M-series chips are their weak, SOC-grade GPU that holds back the Max and Ultra models from having interactive TTFTs on larger models and contexts.
Re: Qwen 3.6 27B is the sweet spot for local development
#516Earlier quoted context omitted.
Just buy a Mac Mini really is good advice if you want to get into real, always-on convenient agentic work. Soon it is going to be good even for coding using local LLMs. Until then, just run API models on it for coding, local LLMs for "knowledge" work or daily driver agent like Hermes.
Except they're not available, 3-4 month wait time.
Re: Qwen 3.6 27B is the sweet spot for local development
#517I love my MacBook Pro M5 128GB RAM and I love qwen3.6. BUT DO NOT buy this MacBook if you plan on doing serious coding using local LLMs with it. The reason is simple: your fingers will burn and your head will explode from the noise. Running any kind of sophisticated job on the very laptop you are using is just not viable. Sure you can use it in clamshell mode, but forget touching it while working with AI coding or ag…
It's okay, completely wrong thread for this statement, but I wouldn't voluntarily use current MacOS (no idea if the older variants weren't terrible) over anything but ssh. Worse than Windows 11.
Re: Qwen 3.6 27B is the sweet spot for local development
#518I love my MacBook Pro M5 128GB RAM and I love qwen3.6. BUT DO NOT buy this MacBook if you plan on doing serious coding using local LLMs with it. The reason is simple: your fingers will burn and your head will explode from the noise. Running any kind of sophisticated job on the very laptop you are using is just not viable. Sure you can use it in clamshell mode, but forget touching it while working with AI coding or ag…
If you were planning on getting an M5 128GB; just get a DGX Spark (~$4500) or a 5090-equipped machine (~$4500) plus a Macbook Air (~$1500). You'll come in below the M5 Max 128 pricing (~$6700+ USD) and be happier for it.
Re: Qwen 3.6 27B is the sweet spot for local development
#519I love my MacBook Pro M5 128GB RAM and I love qwen3.6. BUT DO NOT buy this MacBook if you plan on doing serious coding using local LLMs with it. The reason is simple: your fingers will burn and your head will explode from the noise. Running any kind of sophisticated job on the very laptop you are using is just not viable. Sure you can use it in clamshell mode, but forget touching it while working with AI coding or ag…
Can you define "serious programming"? Because I use it to implement things I COULD go and figure out like algorithms or test generation or evaluations etc, the "serious" programming I tend to do myself. That is what I'm paid for.
Re: Qwen 3.6 27B is the sweet spot for local development
#520I love my MacBook Pro M5 128GB RAM and I love qwen3.6. BUT DO NOT buy this MacBook if you plan on doing serious coding using local LLMs with it. The reason is simple: your fingers will burn and your head will explode from the noise. Running any kind of sophisticated job on the very laptop you are using is just not viable. Sure you can use it in clamshell mode, but forget touching it while working with AI coding or ag…
Apple does not sell a 64GB variant of the M4 Mac Mini. IIRC they never have; its always capped out at 48GB. If you were planning on getting an M5 128GB; just get a DGX Spark (~$4500) or a 5090-equipped machine (~$4500) plus a Macbook Air (~$1500). You'll come in below the M5 Max 128 pricing (~$6700+ USD) and be happier for it.