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README.md

ollama

Interface with an ollama instance over HTTP.

Table of Contents

Install

npm i ollama

Usage

import { Ollama } from 'ollama'

const ollama = new Ollama()

for await (const token of ollama.generate('llama2', 'What is a llama?')) {
  process.stdout.write(token)
}

API

The API aims to mirror the HTTP API for Ollama.

Ollama

new Ollama(config)
  • config <Object> The configuration object for Ollama.
    • address <string> The Ollama API address. Default: "http://127.0.0.1:11434".

Create a new API handler for ollama.

generate

ollama.generate(model, prompt, [options])
  • model <string> The name of the model to use for the prompt.
  • prompt <string> The prompt to give the model.
  • options <GenerateOptions> Optional options to pass to the model.
    • parameters <ModelParameters> Model Parameters.
    • context <number[]> Context returned from previous calls.
    • template <string> Override the default template.
    • system <string> Override the default system string.
  • Returns: <AsyncGenerator<string, GenerateResult>> A generator that outputs the tokens as strings.

Generate a response for a given prompt with a provided model. The final response object will include statistics and additional data from the request.

create

ollama.create(name, path)
  • name <string> The name of the model.
  • path <string> The path to the Modelfile.
  • Returns: AsyncGenerator<CreateStatus> A generator that outputs the status of creation.

Create a model from a Modelfile.

tags

ollama.tags()
  • Returns: Promise<Tag[]> A list of tags.

List models that are available locally.

copy

ollama.copy(source, destination)
  • source <string> The name of the model to copy.
  • destination <string> The name of copied model.
  • Returns: Promise<void>

Copy a model. Creates a model with another name from an existing model.

delete

ollama.delete(model)
  • model <string> The name of the model to delete.
  • Returns: Promise<void>

Delete a model and its data.

pull

ollama.pull(name)
  • name <string> The name of the model to download.
  • Returns: AsyncGenerator<PullResult> A generator that outputs the status of the download.

Download a model from a the model registry. Cancelled pulls are resumed from where they left off, and multiple calls to will share the same download progress.

embeddings

ollama.embeddings(model, prompt, [parameters])
  • model <string> The name of the model to generate embeddings for.
  • prompt <string> The prompt to generate embeddings with.
  • parameters <ModelParameters> Model Parameters.
  • Returns: Promise<number[]> The embeddings.

Generate embeddings from a model.

Building

To build the project files run:

npm run build

Testing

To lint files:

npm run lint