Who developed it
Zyphra
Zyphra is an AI company focused on alternative architecture models, particularly hybrid SSM and transformer designs. Zamba2 is available in the Ollama ecosystem — see the Zamba2 page for the current generation guidance.
Source: Wikimedia Commons
Why teams choose it
Fast, Efficient Pre-Built Private AI
Lower memory than equivalent transformers
Mamba's selective state space processing uses less memory per inference than attention transformers at the same capability level — allowing larger effective models on tighter hardware budgets.
Efficient for constrained hardware
For teams whose hardware budget limits which transformer models they can run, Zamba's hybrid architecture may fit models that wouldn't otherwise be accessible.
Best-fit workloads
What to Use Zamba For
Memory-constrained deployments
Running capable AI on hardware that can't fit an equivalent transformer model.
Edge and efficiency-focused deployments
Organizations prioritizing inference efficiency and hardware cost above raw capability maximums.
Hardware and deployment reality
Deployment Tiers
| Model | Tier | Use |
|---|---|---|
| Zamba / Zamba2 variants | NoCloudGPT will confirm current model availability, license terms, tags, and hardware fit before deployment begins. | See Zamba2 page for current generation |
Honest guidance
When to Choose a Different Model
For current generation, see Zamba2
Zamba2 is the current available generation in Ollama. See Zamba2 →
Deploy with NoCloudGPT
Start Your Private Zamba Deployment
NoCloudGPT will verify current Zamba model availability and configure the deployment on your infrastructure. For the newer generation, see the Zamba2 page.