Zamba Models by Zyphra
Last refreshed 2026-05-19. Next refresh: weekly.
Details
About
The Zamba family of large language models (LLMs), developed by Zyphra, features a novel approach by integrating state-space models like Mamba with transformer blocks 124. This combination creates a balance between performance and efficiency, which allows these models to function on a range of hardware, including consumer-grade GPUs 4812. The initial model, Zamba-7B-v1, trained on an extensive dataset, laid the groundwork for subsequent iterations like Zamba2-7B and Zamba2-2.7B, which introduced enhancements such as Mamba2 blocks and shared attention mechanisms to boost performance 813. Although primarily built for general tasks, these models are not tailored for chat-specific applications and do not include moderation features 28.
Decision facts
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 7B parameters.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Zamba 7B | Use when the workload needs 4k context and 7B parameters. | 2024-11 | 4k context7B parameters | Current |
Release Timeline
1 release groupSpecifications(1 models)
| Model | Released | Context | Parameters |
|---|---|---|---|
| Zamba 7B | 2024-11 | 4k | 7B |


