Overview
OpenELM is a state-of-the-art open language model that provides a transparent and reproducible framework for training and evaluation on publicly available datasets.
Layer-wise Scaling Strategy
Efficiently allocates parameters within each layer of the transformer model, leading to enhanced accuracy.
Open Training and Inference Framework
Provides a transparent and reproducible framework for training and evaluation on publicly available datasets.
Publicly Available Datasets
Includes training logs, multiple checkpoints, and pre-training configurations for publicly available datasets.
Conversion to MLX Library
Includes code to convert models to MLX library for inference and fine-tuning on Apple devices.
Get started
- Open the official website and confirm the service is available in your region.
- Check the current plan, usage limits and terms for your intended use.
- Try a small task with sample data before committing to a paid plan.
Editorial note
Pricing checked: Sep 20, 2026. Official website is active. Please verify current pricing and terms directly on the official site.
Record updated: Sep 20, 2026
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