Marin Models by Marin
Last refreshed 2026-09-08. Next refresh: weekly.
Details
About
Marin is an open lab for building foundation models, primarily developed by Open Athena with community contributors; it began at Stanford University, created by David Hall and Percy Liang. The project aims for full openness—discussions, code, model weights, training-data sources, experiment results, and learning tools—and tracks experiments in the open via GitHub. Released models include Marin 8B Base and Marin 8B Instruct, Llama-architecture dense Transformers from the Marin team at Stanford CRFM.
Decision facts
- Best fit
- coding
- Capability starting point
- Marin 8B Instruct with 128K context
- Lowest tracked input
- Not tracked
- Closest related family
- 360Zhinao
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 4K context and 32.5B parameters.
Use when the workload needs 128K context and 8B parameters.
Use when the workload needs 4K context and 8.0B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Marin 32B Base | Use when the workload needs 4K context and 32.5B parameters. | 2025-10 | 4K context32.5B parameters | Current |
| Marin 8B Instruct | Use when the workload needs 128K context and 8B parameters. | 2025-09 | 128K context8B parameters | Current |
| Marin 8B Base | Use when the workload needs 4K context and 8.0B parameters. | 2025-05 | 4K context8.0B parameters | Current |
Release Timeline
3 release groupsSpecifications(3 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Marin 32B Base | 2025-10 | 4K | 32.5B |
| Marin 8B Instruct | 2025-09 | 128K | 8B |
| Marin 8B Base | 2025-05 | 4K | 8B |
Available From(1 provider)
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