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Open models by OpenAI

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371–380 of 909 posts

Re: Open models by OpenAI

#371
post #316

The 120B model badly hallucinates facts on the level of a 0.6B model. My go to test for checking hallucinations is 'Tell me about Mercantour park' (a national park in south eastern France). Easily half of the facts are invented. Non-existing mountain summits, brown bears (no, there are none), villages that are elsewhere, wrong advice ('dogs allowed' - no they are not).

Others have already said it, but it needs to be said again: Good god, stop treating LLMs like oracles.

LLMs are not encyclopedias.

Give an LLM the context you want to explore, and it will do a fantastic job of telling you all about it. Give an LLM access to web search, and it will find things for you and tell you what you want to know. Ask it "what's happening in my town this week?", and it will answer that with the tools it is given. Not out of its oracle mind, but out of web search + natural language processing.

Stop expecting LLMs to -know- things. Treating LLMs like all-knowing oracles is exactly the thing that's setting apart those who are finding huge productivity gains with them from those who can't get anything productive out of them.

Re: Open models by OpenAI

#372
post #338

Just posted my initial impressions, took a couple of hours to write them up because there's a lot in this release! https://simonwillison.net/2025/Aug/5/gpt-oss/ TLDR: I think OpenAI may have taken the medal for best available open weight model back from the Chinese AI labs. Will be interesting to see if independent benchmarks resolve in that direction as well. The 20B model runs on my Mac laptop using less than 15GB…

> The 20B model runs on my Mac laptop using less than 15GB of RAM.

I was about to try the same. What TPS are you getting and on which processor? Thanks!

Re: Open models by OpenAI

#374
post #338

Just posted my initial impressions, took a couple of hours to write them up because there's a lot in this release! https://simonwillison.net/2025/Aug/5/gpt-oss/ TLDR: I think OpenAI may have taken the medal for best available open weight model back from the Chinese AI labs. Will be interesting to see if independent benchmarks resolve in that direction as well. The 20B model runs on my Mac laptop using less than 15GB…

What did you set the context window to? That's been my main issue with models on my macbook, you have to set the context window so short that they are way less useful than the hosted models. Is there something I'm misisng there?

Re: Open models by OpenAI

#375
post #112

Orthogonal, but I just wanted to say how awesome Ollama is. It took 2 seconds to find the model and a minute to download and now I'm using it. Kudos to that team.

I remember reading Ollama is going closed source now?

https://www.reddit.com/r/LocalLLaMA/comments/1meeyee/ollamas...

Re: Open models by OpenAI

#376

Earlier quoted context omitted.

The slavery of free humans is illegal in America, so now the big issue is figuring out how to convince voters that imprisoned criminals deserve rights. Even in liberal states, the dehumanization of criminals is an endemic behavior, and we are reaching the point in our society where ironically having the leeway to discuss the humane treatment of even our worst criminals is becoming an issue that affects how we see our…

> slavery of free humans is illegal That's kind of vacuously true though, isn't it?

I think his point is that slavery is not outlawed by the 13th amendment as most people assume (even the Google AI summary reads: "The 13th Amendment to the United States Constitution, ratified in 1865, officially abolished slavery and involuntary servitude in the United States.").

However, if you actually read it, the 13th amendment makes an explicit allowance for slavery (i.e. expressly allows it):

"Neither slavery nor involuntary servitude, *except as a punishment for crime whereof the party shall have been duly convicted*" (emphasis mine obviously since Markdown didn't exist in 1865)

Re: Open models by OpenAI

#377
post #357

The lede is being missed imo. gpt-oss:20b is a top ten model (on MMLU (right behind Gemini-2.5-Pro) and I just ran it locally on my Macbook Air M3 from last year. I've been experimenting with a lot of local models, both on my laptop and on my phone (Pixel 9 Pro), and I figured we'd be here in a year or two. But no, we're here today. A basically frontier model, running for the cost of electricity (free with a rounding…

The environmentalist in me loves the fact that LLM progress has mostly been focused on doing more with the same hardware, rather than horizontal scaling. I guess given GPU shortages that makes sense, but it really does feel like the value of my hardware (a laptop in my case) is going up over time, not down.

Also, just wanted to credit you for being one of the five people on Earth who knows the correct spelling of "lede."

Re: Open models by OpenAI

#378
post #338

Just posted my initial impressions, took a couple of hours to write them up because there's a lot in this release! https://simonwillison.net/2025/Aug/5/gpt-oss/ TLDR: I think OpenAI may have taken the medal for best available open weight model back from the Chinese AI labs. Will be interesting to see if independent benchmarks resolve in that direction as well. The 20B model runs on my Mac laptop using less than 15GB…

I’m also very interested to know how well these models handle tool calling as I haven’t been able to make it work after playing with them for a few hours. Looks promising tho.

Re: Open models by OpenAI

#379
post #87

i wish these models had a minimum ram , cpu and gpu size listed on the site instead of high end and medium end pc.

You can technically run it on a 8086 assuming you can get access to a big enough storage.

More reasonably, you should be able to run the 20B at non-stupidly-slow speed with a 64bit CPU, 8GB RAM, 20GB SSD.

Re: Open models by OpenAI

#380

Seeing a 20B model competing with o3's performance is mind blowing like just a year ago, most of us would've called this impossible - not just the intelligence leap, but getting this level of capability in such a compact size. I think that the point that makes me more excited is that we can train trillion-parameter giants and distill them down to just billions without losing the magic. Imagine coding with Claude 4 Op…

10B * 2000 t/s = 20,000 GB/s memory bandwidth . Apple hardware can do 1k GB/s .

That’s why MoE is needed.
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