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@SuspciousCarrot78@lemmy.world

Post #1333357

2026-04-17 06:09 UTC

1. How much VRAM do you have? 2. Which GPU? 3. What sort of coding do you want to do? No point in telling you "yo, dude, just grab MinMax 2.7 or GLM5.1"...unless you happen to have several GPUs running concurrently with a total combined VRAM pool of 500GB or more. There are *strong* local contenders... (Like [Qwen3-Coder-Next](https://huggingface.co/unsloth/Qwen3-Coder-Next-GGUF) but as you can see, the table ante is probably in the 45GB vram range just to load them up. Actually running them with a decent context length is likely to mean you need to be in the 80-100GB range. Do-able...but maybe pay $10 on OpenRouter first to test drive them before committing to $2000+ worth of hardware upgrades. There are other, more reasonable, less hardware dependent uses for local LLMs, but if you want fully *local* coders, it's the same old story: pay to play (and that's even if you don't mind slow speed / overnight batch jobs). Right now, cloud-based providers are hemorrhaging money *because* they know it will lead to lock-in (ie: people will get use to what can be achieved with SOTA models, forgetting the multi-million dollar infrastructure required to run them). Then, when they realize you can't *quite* do the same with local gear (at least, without spending $$$), they can ratchet the prices up. Codex pro-plan just went to $300/month. We've seen this playbook before, right?

Replies (1)

  • @lsjw96kxs@sh.itjust.works 2026-04-18 06:14

    Thanks for the pointers. For the hardware, I have a 9070 XT with 16 Gb of VRAM. It's sure that it can be very expensive. As I only do this as a hobby, I don't want to pay that amount of money. I'm okay with having a slow llm as it wouldn't be a tool I'd use often. I prefer to try doing things on my own and use the ai to help for little tasks first, such as checking why this one line of code didn't want to work correctly or things like that.

    Open ##1333360