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‘Tis the week for small AI fashions, it appears.
Nonprofit AI analysis institute Ai2 on Thursday launched Olmo 2 1B, a 1-billion-parameter mannequin that Ai2 claims beats similarly-sized fashions from Google, Meta and Alibaba on a number of benchmarks. Parameters, generally known as weights, are the inner elements of a mannequin that information its habits.
Olmo 2 1B is out there underneath a permissive Apache 2.0 license on AI dev platform Hugging Face. In contrast to most fashions, Olmo 2 1B will be replicated from scratch, as Ai2 has offered the code and information units (Olmo-mix-1124 and Dolmino-mix-1124) used to develop it.
Small fashions may not be as succesful as their behemoth counterparts, however importantly, they don’t require beefy {hardware} to run. That makes them way more accessible for builders and hobbyists contending with the restrictions of lower-end {hardware} and client machines.
There’s been a raft of small mannequin launches over the previous few days, from Microsoft’s Phi 4 reasoning household to Qwen’s 2.5 Omni 3B. Most of those, together with Olmo 2 1B, can simply run on a contemporary laptop computer or perhaps a cell gadget.
Ai2 says Olmo 2 1B was educated on a knowledge set of 4 trillion tokens from publicly obtainable, AI-generated, and manually created sources. Tokens are the uncooked bits of knowledge that fashions ingest and generate, with 1,000,000 tokens equal to about 750,000 phrases.
On a benchmark measuring arithmetic reasoning, GSM8K, Olmo 2 1B scores higher than Google’s Gemma 3 1B, Meta’s Llama 3.2 1B, and Alibaba’s Qwen 2.5 1.5B. Olmo 2 1B additionally eclipses the efficiency of these three fashions on TruthfulQA, a check for evaluating factual accuracy.
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This mannequin was pretrained on 4T tokens of high-quality information, following the identical commonplace pretraining into high-quality annealing of our 7, 13, & 32B fashions. We add intermediate checkpoints from each 1000 steps in coaching.
Ai2 has warned that Olmo 2 1B carries dangers, nevertheless. Like all AI fashions, it will probably produce “problematic outputs,” together with dangerous and “delicate” content material, the group mentioned, in addition to factually inaccurate statements. For these causes, Ai2 recommends towards deploying Olmo 2 1B in industrial settings.
