LLM Reference

Zamba Models by Zyphra

ZyphraApache 2.0Open source
1 model2024Up to 4k ctx

Last refreshed 2026-05-19. Next refresh: weekly.

Details

ResearcherZyphra
LicenseApache 2.0OSI-approved
Commercial useCommercial use: permitted
Models1
Released2024
Max context4k

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

Best fit
General model comparison
Capability starting point
Zamba 7B with 4k context
Lowest tracked input
Not tracked
Closest related family
ZAYA1

Current Variants

Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.

1 in view
Zamba 7BCurrent

Use when the workload needs 4k context and 7B parameters.

2024-114k context7B parameters

Release Timeline

1 release group
2024-11
1 current
Zamba 7B
4k context7B parameters
Current

Specifications(1 models)

Zamba model specifications comparison
ModelReleasedContextParameters
Zamba 7B2024-114k7B