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by mashygpig21 hours ago |
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upvoteby Saris19 hours ago|
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Even with deepseek v4 flash I burned though $5 in credits in a day just playing around with Hermes, and qwen 3.6 35B is significantly more expensive.

I can run qwen 3.6 35B on my gaming PC at around 50 tok/s and other than power cost of a tiny bit extra per month, it's hardware I already owned from years ago.

I'm not really sure why qwen 3.6 35B is so expensive on openrouter, it seems abnormally high for what hardware it takes to run it.

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upvoteby myzek7 hours ago|
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How do you run 35B on a gaming PC?

I'm trying to go the same route, but I have a 5070Ti with only 16GB VRAM (I bought it for gaming) and I'm not sure how to run anything decent on it. I have 64 GB RAM if that matters

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upvoteby Saris6 hours ago|
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I run it on a 12GB 4070 with 32GB system RAM. 35B A4B means only part of the model is active at a time so it takes a lot less VRAM than a dense 35B model would.

The main thing in LM studio (or whatever software you use, assuming it has fairly up to date stuff and exposes the toggles) is to offload MoE layers to the CPU, and use K/V cache quantization at Q8_0 or Q4_0.

Since you have more VRAM than I do, you could probably get away with MoE offload of like 15-20 so some remains on the GPU.

Just make sure GPU offload is turned all the way up. And I use 64k context size, although with 16GB VRAM you can probably do more.

You can find the best performance spot by playing with MoE offload until you find the number that gives the highest tok/s on your hardware.

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upvoteby Perenti17 hours ago|
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If you're not good at prompting yet, that $10 doesn't go very far. The local model allows me to learn what works and what doesn't without paying for tokens. Then when I know how not to waste them, I'll try a paid model.
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upvoteby alentred12 hours ago|
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There is one side effect of running your LLM locally: you stop thinking about the token budget. I often run `/goal` with no limits, or script an endless loop in bash to run opencode, etc. Sometimes I just brute force the task by throwing a /goal at it. Maybe it's not the most efficient use either, but it's nice to have the option.
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upvoteby SchemaLoad20 hours ago|
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Agreed, I'm waiting for the time when 48GB+ ram is just the standard that computers come with rather than being the absolute top tier option. It just doesn't make sense to spend extra on a local AI computer right now when the same money would last for a decade of API pricing.
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upvoteby boppo19 hours ago|
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Have you considered this may never happen? What if datacenters continue to swallow all capacity?
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upvoteby an0malous16 hours ago|
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Those are all pre-rugpull prices though. Give it a year.
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