Replicate API exposes LLaMA 7B through model ID replicate/llama-7b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-09-29. Next refresh: weekly.
Quick Start
- 1
- 2Use the Replicate API SDK or REST API to call
replicate/llama-7b— see the documentation for request format.
Code Examples
pip install replicateREPLICATE_API_TOKENreplicate/llama-7bReplicate 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.
import replicate
# reads REPLICATE_API_TOKEN from env
# replicate/llama-7b format: "owner/model-name" (latest version) or "owner/model-name:version-hash"
output = replicate.run(
"replicate/llama-7b",
input={"prompt": "Hello"}
)
# Output is a list or generator depending on the model
print("".join(output))Pricing on Replicate API
Capabilities
No model capability flags are currently sourced.
About LLaMA 7B
Meta's original LLaMA (Large Language Model Meta AI) 7B parameter model. Released February 2023, it demonstrated that smaller models trained on more data could match larger models. Foundation for the LLaMA family of open models.