tools
OLMo
OLMo è la famiglia di modelli linguistici completamente aperti di Ai2, con pesi, dati, codice, checkpoint e valutazioni pubblici.
In inglese
OLMo provides language models for research, development, and local deployment. Its model flow includes pretraining, mid-training, post-training, datasets, checkpoints, training code, and evaluation tools.
The current product page presents the Olmo 3 family in 7B and 32B Base, Think, and Instruct variants. Ai2 provides artifacts for download and documentation for running models locally; hosted usage pricing was not found.
Features
- Olmo 3 models in 7B and 32B Base, Think, and Instruct variants
- Public model weights, training data, checkpoints, code, and evaluations
- Supports programming, reading comprehension, mathematics, and extended-context tasks
- Think variants provide reasoning-focused checkpoints
- Instruct variants support chat, tool use, and multi-turn dialogue
- OlmoCore provides a framework for language-model training
- OLMES provides tools for reproducible model evaluation
- Open Instruct provides a post-training pipeline
Use cases
- Run language models locally on available hardware
- Fine-tune base checkpoints for specialized applications
- Study how training data and methods affect model behavior
- Build chat and tool-use systems with instruction-tuned checkpoints
- Reproduce or extend language-model training experiments
Pros
Cons
Latest updates
- archive/speed-process-workers
Thread prefetch remains the default for mixed mid-training; process mode is available.
- archive/speed-norms-interval
Gradient-norm bookkeeping now runs once per step.
- archive/speed-no-locks
OLMoOCR pages are rendered in helper processes using thread-local shard handles.
- archive/speed-full-window (OLMo 3.5)
The OLMo 3.5 recipes leave prefetch_keep_full off.
- archive/speed-device-once: Stage the pixels to the device through a pinned buffer on a side stream
Image batches are staged through a reusable page-locked buffer and copied on a side stream.
Capabilities
- Self-hosted — “Olmo 3 is a family of compact, dense models at 7 billion and 32 billion parameters that can run on everything from laptops to research clusters.” source
- API — “or use them via API courtesy of our inference partners.” source
- Runs models for you — “or use them via API courtesy of our inference partners.” source
Get it
Pricing
- Prices checked
- 2026-10-25