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Running local models is good now

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631–640 of 651 posts

Re: Running local models is good now

#631
post #15

After having been a happy user of Qwen3.6-27B for a few weeks, due to being away from the hardware, I'm currently forced to use Claude Sonnet 4.6 It is such a downgrade. I don't understand how that's even possible. The thing has so many strongly-held opinions I did not ever ask it for, talking just way too much and generally feeling somehow dumber. Of course, being significantly larger, it will encode more knowledge,…

I use tailscale to have remote access to my local models when on the move.

Re: Running local models is good now

#633

Earlier quoted context omitted.

When discussing this, may I ask (I know you are probably bored of the actual arguments), what does "trained models on data that wasn't theirs" actually mean in practice? Again, I know these arguments have been done to death, but every human who reads source code that wasn't written by them, or views art that wasn't created by them, and practices against this art, is training their brain on data "that wasn't theirs".…

A product is not a human. They are selling a product based off copy-righted material without the rights to it. It's a pretty easy line to draw, honestly.

I don't think it is easy, otherwise this wouldn't be such a contentious and frequently discussed issue.

A human who trains their brain on material they don't own then creates art or writes code based on this training, sells the product too.

Re: Running local models is good now

#634
post #465

Earlier quoted context omitted.

“There is no reason anyone would want a computer in their home." - Ken Olson, Founder of Digital Equipment Corporation, in 1977

In hindsight this is getting truer, what with the push of dumb terminal for everyone

Everyone has at least one in their pocket right now though.

Re: Running local models is good now

#635

I don't know about good, I use a lot of local models and they're still pretty painful to run locally You have dense models (qwen 27b, gemma 31b) who are pretty smart, but pretty slow You have MoE models (gemma 26b, qwen 35b, north mini code 30b) who are pretty fast, but make a lot of mistakes You need a lot of memory to run these well, quantization makes tool calling weaker, so most run at 4 bit quants and are wonder…

> You have dense models (qwen 27b, gemma 31b) who are pretty smart, but pretty slow

slowness doesn't matter a lot to me, at home. I will type up a prompt and submit it and let it run while I do other things around the house. I have all kinds of things to do, and most of them do not require sitting in front of a computer.

of course faster would be better, but it's not always a requirement. smart and slow is far better than dumb and fast or even nothing at all.

Re: Running local models is good now

#636
post #344

[meta] I wonder why people have such wildly different bar for what is "good" agentic coding? In a way, it's absolutely amazing that we've went from "Playing 'Set a Timer' on Apple Music" intelligence to something that may pass the Turing Test, but in practical terms the small models are still far from what I'd call "good" for more than a tech demo. To me, 7B models are just a fuzzy echo of Wikipedia. Gemma models at…

> may pass the Turing Test Why do you say 'may'? Just curious. Surely you've got something

Because as with every AI, when it passed, the goalposts have been moved. Naysayers say it doesn't count, because winning once isn't enough, it needs to win 50%+ of the time, or winning against an uneducated human who can't ask right questions doesn't count etc.

Re: Running local models is good now

#637

Earlier quoted context omitted.

A product is not a human. They are selling a product based off copy-righted material without the rights to it. It's a pretty easy line to draw, honestly.

I don't think it is easy, otherwise this wouldn't be such a contentious and frequently discussed issue. A human who trains their brain on material they don't own then creates art or writes code based on this training, sells the product too.

Which is not illegal to do. It becomes illegal if you directly use or reference the material in your product. Consuming copyrighted material personally is fully legal, training a model on that same copy-righted material is illegal. Where is the contention?

(Not a lawyer, just a nerd)

Re: Running local models is good now

#638
post #226
post #136

Earlier quoted context omitted.

This is basically my experience as well. I have a moderately recent but high spec desktop (Radeon 6900 XT with 16 GB VRAM, Ryzen 9 7900X 12-core, 64 GB system RAM), and I tried out some recommended models with ollama a month or two ago. Anything not geared specifically towards coding seemed to struggled with actually making tool calls instead of just stating the actions they would take without making them (and trying…

> The best "free" experience I've found is using OpenCode with Big Pickle. I have absolutely zero interest in free. I honestly don't think I'm even remotely in the same demographic as people using free tiers / models. I want to pay. I don't want my data used for training. I want it to be open. I want it to be consistently up (more than Claude!). I want it to be fast. I don't want it to be subsidized as that's just an…

Would venace ai work?

Re: Running local models is good now

#639
post #510

Earlier quoted context omitted.

how are you connecting the 35B model to your mailbox, for email classification?

It is a combination of Hermes agent as the orchestrator and a custom extractor script (that uses qwen or any other LLM) that runs every 2 mins (on Mac via launchd). I had the code + skill written by Hermes. The beauty of it is that Hermes itself has a cron too - every 4h Hermes will wake up and check if the email ingestion is working fine. If not, it will fix it. Funnily this is one of the most robust setups I've see…

I did something similiar on OpenClaw running on a Mac Mini. The script uses Applescript to check Apple Mail for new emails and summarize them, and also add the summary to Sqlite. Not quite smart yet to uncover and track large mail threads, with context.

Re: Running local models is good now

#640

Earlier quoted context omitted.

But how smart is it? All the people running local models never seem to mention that they are way dumber than cloud models. I don't care how many tokens per second of nonsense it can generate.

Qwen 3.6 35b a3b is about as good as sonnet 4.5. It varies but it's at that level.

Not even close.

It may be "about as good" on some very specific task.

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