zlacker

>>daniel+(OP)
This GGUF is 48.4GB - https://huggingface.co/Qwen/Qwen3-Coder-Next-GGUF/tree/main/... - which should be usable on higher end laptops.

I still haven't experienced a local model that fits on my 64GB MacBook Pro and can run a coding agent like Codex CLI or Claude code well enough to be useful.

Maybe this will be the one? This Unsloth guide from a sibling comment suggests it might be: https://unsloth.ai/docs/models/qwen3-coder-next

>>simonw+l3
I wonder if the future in ~5 years is almost all local models? High-end computers and GPUs can already do it for decent models, but not sota models. 5 years is enough time to ramp up memory production, consumers to level-up their hardware, and models to optimize down to lower-end hardware while still being really good.

>>dehrma+Rg
Opensource or local models will always heavily lag frontier.

Who pays for a free model? GPU training isn't free!

I remember early on people saying 100B+ models will run on your phone like nowish. They were completely wrong and I don't think it's going to ever really change.

People always will want the fastest, best, easiest setup method.

"Good enough" massively changes when your marketing team is managing k8s clusters with frontier systems in the near future.

>>johnsm+CO
I don't think this is as true as you think.

People do not care about the fastest and best past a point.

Let's use transportation as an analogy. If all you have is a horse, a car is a massive improvement. And when cars were just invented, a car with a 40mph top speed was a massive improvement over one with a 20mph top speed and everyone swapped.

While cars with 200mph top speeds exist, most people don't buy them. We all collectively decided that for most of us, most of the time, a top speed of 110-120 was plenty, and that envelope stopped being pushed for consumer vehicles.

If what currently takes Claude Opus 10 minutes to do can be done is 30ms, then making something that can do it in 20ms isn't going to be enough to get everyone to pay a bunch of extra money for.

Companies will buy the cheapest thing that meets their needs. SOTA models right now are much better than the previous generation but we have been seeing diminishing returns in the jump sizes with each of the last couple generations. If the gap between current and last gen shrinks enough, then people won't pay extra for current gen if they don't need it. Just like right now you might use Sonnet or Haiku if you don't think you need Opus.