12 models
A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.
A general-purpose model ranging from 3 billion parameters to 70 billion, suitable for entry-level hardware.
Atom-Olmo3-7B is a specialized language model fine-tuned from Olmo-3 7B Instruct for collaborative problem-solving and creative exploration.
Reduced-refusal Olmo 3 7B Think via Heretic: 48/100 refusals (from 100), KL 0.026. Fully open reasoning model.
Single file version with (Dynamic Quants) A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.
A 7B math reasoning model from Allen AI, trained with RL-Zero to solve problems step-by-step like a skilled tutor. Supports 65K context for complex multi-step problems - runs on any laptop.
olmo 3.7b instruct x starcoder, small but packs a punch
StarCoder2 is the next generation of transparently trained open code LLMs that comes in three sizes: 3B, 7B and 15B parameters.
(Unsloth Dynamic Quants) A strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token.