!function(){function t(t){document.documentElement.setAttribute("data-theme",t)}var e=function(){var t=null;try{t=new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}return t}()||function(){var t=null;try{t=localStorage.getItem("theme")}catch(t){}return t}();t(null!==e?e:"light")}(),document.documentElement.setAttribute("data-announcement-bar-initially-dismissed",function(){try{return"true"===localStorage.getItem("docusaurus.announcement.dismiss")}catch(t){}return!1}())

[Skip to main content](#__docusaurus_skipToContent_fallback)

You are viewing the **preview** v0.2 docs. View the **stable** v0.1 docs [here](/v0.1/docs/get_started/introduction/). Leave feedback on the v0.2 docs [here](https://github.com/langchain-ai/langchainjs/discussions/5386).

[

![🦜️🔗 Langchain](/v0.2/img/brand/wordmark.png)![🦜️🔗 Langchain](/v0.2/img/brand/wordmark-dark.png)

](/v0.2/)[Integrations](/v0.2/docs/integrations/platforms/)[API Reference](https://v02.api.js.langchain.com)

[More](#)

*   [People](/v0.2/docs/people/)
*   [Community](/v0.2/docs/community)
*   [Tutorials](/v0.2/docs/additional_resources/tutorials)
*   [Contributing](/v0.2/docs/contributing)

[v0.2](#)

*   [v0.2](/v0.2/docs/introduction)
*   [v0.1](https://js.langchain.com/v0.1/docs/get_started/introduction)

[🦜🔗](#)

*   [LangSmith](https://smith.langchain.com)
*   [LangSmith Docs](https://docs.smith.langchain.com)
*   [LangChain Hub](https://smith.langchain.com/hub)
*   [LangServe](https://github.com/langchain-ai/langserve)
*   [Python Docs](https://python.langchain.com/)

[Chat](https://chatjs.langchain.com)[](https://github.com/langchain-ai/langchainjs)

Search

*   [Providers](/v0.2/docs/integrations/platforms/)
    
    *   [Providers](/v0.2/docs/integrations/platforms/)
    *   [Anthropic](/v0.2/docs/integrations/platforms/anthropic)
    *   [AWS](/v0.2/docs/integrations/platforms/aws)
    *   [Google](/v0.2/docs/integrations/platforms/google)
    *   [Microsoft](/v0.2/docs/integrations/platforms/microsoft)
    *   [OpenAI](/v0.2/docs/integrations/platforms/openai)
*   [Components](/v0.2/docs/integrations/components)
    
    *   [Chat models](/v0.2/docs/integrations/chat/)
        
    *   [LLMs](/v0.2/docs/integrations/llms/)
        
        *   [LLMs](/v0.2/docs/integrations/llms/)
        *   [AI21](/v0.2/docs/integrations/llms/ai21)
        *   [AlephAlpha](/v0.2/docs/integrations/llms/aleph_alpha)
        *   [AWS SageMakerEndpoint](/v0.2/docs/integrations/llms/aws_sagemaker)
        *   [Azure OpenAI](/v0.2/docs/integrations/llms/azure)
        *   [Bedrock](/v0.2/docs/integrations/llms/bedrock)
        *   [Cloudflare Workers AI](/v0.2/docs/integrations/llms/cloudflare_workersai)
        *   [Cohere](/v0.2/docs/integrations/llms/cohere)
        *   [Fireworks](/v0.2/docs/integrations/llms/fireworks)
        *   [Friendli](/v0.2/docs/integrations/llms/friendli)
        *   [(Legacy) Google PaLM/VertexAI](/v0.2/docs/integrations/llms/google_palm)
        *   [Google Vertex AI](/v0.2/docs/integrations/llms/google_vertex_ai)
        *   [Gradient AI](/v0.2/docs/integrations/llms/gradient_ai)
        *   [HuggingFaceInference](/v0.2/docs/integrations/llms/huggingface_inference)
        *   [Llama CPP](/v0.2/docs/integrations/llms/llama_cpp)
        *   [NIBittensor](/v0.2/docs/integrations/llms/ni_bittensor)
        *   [Ollama](/v0.2/docs/integrations/llms/ollama)
        *   [OpenAI](/v0.2/docs/integrations/llms/openai)
        *   [PromptLayer OpenAI](/v0.2/docs/integrations/llms/prompt_layer_openai)
        *   [RaycastAI](/v0.2/docs/integrations/llms/raycast)
        *   [Replicate](/v0.2/docs/integrations/llms/replicate)
        *   [Together AI](/v0.2/docs/integrations/llms/togetherai)
        *   [WatsonX AI](/v0.2/docs/integrations/llms/watsonx_ai)
        *   [Writer](/v0.2/docs/integrations/llms/writer)
        *   [YandexGPT](/v0.2/docs/integrations/llms/yandex)
    *   [Embedding models](/v0.2/docs/integrations/text_embedding)
        
    *   [Document loaders](/v0.2/docs/integrations/document_loaders)
        
    *   [Document transformers](/v0.2/docs/integrations/document_transformers)
        
    *   [Vector stores](/v0.2/docs/integrations/vectorstores)
        
    *   [Retrievers](/v0.2/docs/integrations/retrievers)
        
    *   [Tools](/v0.2/docs/integrations/tools)
        
    *   [Toolkits](/v0.2/docs/integrations/toolkits)
        
    *   [Stores](/v0.2/docs/integrations/stores/)
        

*   [](/v0.2/)
*   [Components](/v0.2/docs/integrations/components)
*   [LLMs](/v0.2/docs/integrations/llms/)
*   Replicate

Replicate
=========

Here's an example of calling a Replicate model as an LLM:

tip

See [this section for general instructions on installing integration packages](/v0.2/docs/how_to/installation#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install replicate @langchain/community

    yarn add replicate @langchain/community

    pnpm add replicate @langchain/community

    import { Replicate } from "@langchain/community/llms/replicate";const model = new Replicate({  model:    "a16z-infra/llama13b-v2-chat:df7690f1994d94e96ad9d568eac121aecf50684a0b0963b25a41cc40061269e5",});const prompt = `User: How much wood would a woodchuck chuck if a wood chuck could chuck wood?Assistant:`;const res = await model.invoke(prompt);console.log({ res });/*  {    res: "I'm happy to help! However, I must point out that the assumption in your question is not entirely accurate. " +      + "Woodchucks, also known as groundhogs, do not actually chuck wood. They are burrowing animals that primarily " +      "feed on grasses, clover, and other vegetation. They do not have the physical ability to chuck wood.\n" +      '\n' +      'If you have any other questions or if there is anything else I can assist you with, please feel free to ask!'  }*/

#### API Reference:

*   [Replicate](https://v02.api.js.langchain.com/classes/langchain_community_llms_replicate.Replicate.html) from `@langchain/community/llms/replicate`

You can run other models through Replicate by changing the `model` parameter.

You can find a full list of models on [Replicate's website](https://replicate.com/explore).

* * *

#### Was this page helpful?

  

#### You can leave detailed feedback [on GitHub](https://github.com/langchain-ai/langchainjs/issues/new?assignees=&labels=03+-+Documentation&projects=&template=documentation.yml&title=DOC%3A+%3CPlease+write+a+comprehensive+title+after+the+%27DOC%3A+%27+prefix%3E).

[

Previous

RaycastAI

](/v0.2/docs/integrations/llms/raycast)[

Next

Together AI

](/v0.2/docs/integrations/llms/togetherai)

Community

*   [Discord](https://discord.gg/cU2adEyC7w)
*   [Twitter](https://twitter.com/LangChainAI)

GitHub

*   [Python](https://github.com/langchain-ai/langchain)
*   [JS/TS](https://github.com/langchain-ai/langchainjs)

More

*   [Homepage](https://langchain.com)
*   [Blog](https://blog.langchain.dev)

Copyright © 2024 LangChain, Inc.