LLM Reference

Zamba Models by Zyphra

1 model2024Up to 4k ctx

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.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

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

Frequently Asked Questions

What is Zamba used for?
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.
How does Zamba compare to ZAYA1?
Zamba by Zyphra is strongest where you need its listed use cases, while ZAYA1 by Zyphra is the closest related family to check for reasoning. Zamba has 1 listed variant and reaches up to 4k context, while ZAYA1 reaches up to 33k context, so compare the specs and pricing tables before choosing a production model.
Which Zamba model should I use?
If price is the main constraint, use the pricing table first because Zamba does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Zamba 7B with 4k context.

Models(1)