OpenELM Models by Apple Machine Learning Research
4 models2024
About
Open Efficent Language Model
Current Variants
Use-when guidance is derived from seed capabilities, context, release, and replacement fields.
4 in view
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| OpenELM 270M | Use when the workload needs 270M parameters. | 2024-04 | 270M parameters | Current |
| OpenELM 450M | Use when the workload needs 450M parameters. | 2024-04 | 450M parameters | Current |
| OpenELM 1.1B | Use when the workload needs 1.1B parameters. | 2024-04 | 1.1B parameters | Current |
| OpenELM 3B | Use when the workload needs 3B parameters. | 2024-04 | 3B parameters | Current |
Release Timeline
1 release group2024-04
4 current
OpenELM 1.1B
Current1.1B parameters
OpenELM 270M
Current270M parameters
OpenELM 3B
Current3B parameters
OpenELM 450M
Current450M parameters
Specifications(4 models)
| Model | Released | Parameters |
|---|---|---|
| OpenELM 270M | 2024-04 | 270M |
| OpenELM 450M | 2024-04 | 450M |
| OpenELM 1.1B | 2024-04 | 1.1B |
| OpenELM 3B | 2024-04 | 3B |
Frequently Asked Questions
- What is OpenELM used for?
- Open Efficent Language Model
- How does OpenELM compare to Apple Intelligence Server?
- OpenELM by Apple Machine Learning Research is strongest where you need its listed use cases, while Apple Intelligence Server by Apple Machine Learning Research is the closest related family to check for coding. OpenELM has 4 listed variants, so compare the specs and pricing tables before choosing a production model.
- Which OpenELM model should I use?
- If price is the main constraint, use the pricing table first because OpenELM does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate OpenELM 270M.
