OLMo 3
product on 2 shows · 6 statements across 2 episodes · said 3 times in 2 episodes since 2026
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6 statements about OLMo 3, every show
AI2's OLMo 3 32B leads Artificial Analysis's 18-point Openness Index
“It's out of 18 currently. And so we've got an openness index page, but essentially these are points. You get points for being more open across these different categories and the maximum you can achieve is 18. So AI two with their extremely open OMO three, 32 B…”
Ai2 releases OLMo 3 with full training recipes, data, and intermediate checkpoints
“We're not just releasing the final models. We're releasing, you know, the entire recipe we followed to get this model. So the data, the intermediate states, the evaluation frameworks, all the details, all the bits that people need to know to make models like O…”
Ai2 samples 6T tokens from 10T pool for OLMo 3
“There's like a pool of about 10 trillion tokens from which we have like an algorithm also fully open source. To like sample about six trillion tokens that we use during training.”
Lambert: OLMo 3 models are the best open models outside Qwen 3
“I would say in post training where The best models that don't start with Quinn three and we're like reasonable to say that they are comparable to Quinn three, like on some benchmarks would beat them on some benchmarks. They're way ahead.”
Ai2 filtered OLMo 3's pre-training dataset from 300 trillion tokens
“Our initial pool was closer to 300 trillion tokens. You shrink it down till you reach your target number, and hopefully as you shrink, you only keep the best part of this.”
Ai2 fine-tuned OLMo 3 using Chinese teacher models DeepSeek-R1 and Qwen
“So in our case, we took a mix of existing data sets like Open Thoughts three and modified it, which is from Bespoke AI labs, a startup. And then we also generated a whole bunch of new data. So we ended up using a mix of teachers from like Deep Seek R one, oh f…”