LLaMA 7B on Replicate API

LLaMA · AI at Meta

ServerlessOpen Weights

Last refreshed 2026-09-29. Next refresh: weekly.

Why use LLaMA 7B on Replicate API?

Replicate API offers LLaMA 7B 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 + curl
Install
pip install replicate
Auth
export REPLICATE_API_TOKEN=...
Call
import replicate
output = replicate.run(
    "replicate/llama-7b",
    input={"prompt": "Hello"}
Model ID
replicate/llama-7b

Request example

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))

Gotchas

  • Use provider model ID "replicate/llama-7b", not the LLMReference slug "llama-7b".
  • 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 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.

Get Started

Model CardDocsPortalPlaygroundPricing

Model Specs

Released2023-02-24
Parameters7B
Context2k
ArchitectureDecoder Only

Provider

Replicate API

Replicate

All models on Replicate API →Provider setup guide →