Last refreshed 2026-05-19. Next refresh: weekly.
Why use Mamba 130M on Replicate API?
Replicate API offers Mamba 130M with competitive pricing. Replicate is a cloud-based platform that enables users to run machine learning models easily and efficiently.
Input / 1M
-
Output / 1M
-
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install replicateAuth
export REPLICATE_API_TOKEN=...Call
import replicate
output = replicate.run(
"mamba-130m",
input={"prompt": "Hello"}Model ID
mamba-130mRequest example
import replicate
# reads REPLICATE_API_TOKEN from env
# mamba-130m format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"mamba-130m",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Gotchas
- Replicate uses "owner/model-name" format (e.g. "meta/meta-llama-3-8b-instruct") for the latest version, or "owner/model-name:version-sha" to pin to a specific version. The REST endpoint splits owner and model-name into the path: /v1/models/{owner}/{model-name}/predictions.
- The examples expect REPLICATE_API_TOKEN; rename it only if your application config maps the new variable.
Capabilities
No model capability flags are currently sourced.
About Mamba 130M
Mamba 130M is State Spaces' Mamba model. Its knowledge cutoff is 2020.
FAQ
What is the context window for Mamba 130M on Replicate API?
Mamba 130M supports a 2k token context window on Replicate API.
Who created Mamba 130M?
Mamba 130M was created by State Spaces as part of the Mamba model family.
Is Mamba 130M open source?
Mamba 130M is open source under Apache 2.0 according to the seed data.
Get Started
Model Specs
Released2023-12-01
Parameters130M
Context2k
ArchitectureDecoder Only
Knowledge cutoff2020