OLMo 7B
- Family
- OLMo
- Released
- 2024-02-01
- Parameters
- 7B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-03
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedCommercial use: permitted
- Weights
- Unknown
- Code
- Unknown
- Training
- Fine-tuned
Cheapest of 1 route · Replicate API
About
OLMo 7B is a large language model created by the Allen Institute for Artificial Intelligence (AI2), characterized by its open-source nature where model weights, training data, code, and evaluation tools have been publicly released. It utilizes a decoder-only transformer architecture, featuring 32 layers, a hidden size of 4096, and 32 attention heads, among other features. Trained on 2.5 trillion tokens from the Dolma dataset, this model excels in text generation, question answering, and language understanding, with performance metrics often comparable to or exceeding those of similar-sized models.
Top use-case fit
Classification
Q/$ BProviders(1)
Compare API pricing across 1 tracked provider route for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Replicate API | - | - | ServerlessPartial |
Deprecated provider routes(1)
| Provider | Status | Catalog ID |
|---|---|---|
| Together AI | Deprecated | — |
Available via routers & gateways(1)
Capabilities
Benchmark peer barsfor Classification
Benchmark scores(1)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| Massive Multitask Language Understanding | 62.3 | 5-shotObserved 2026-03-07 | — | Source |
Migration checks
No linked migration route is available for this model yet.
Cheapest of 1 route · Replicate API