All-In-One images

All-In-One images are images that come pre-configured with a set of models and backends to fully leverage almost all the LocalAI featureset. These images are available for both CPU and GPU environments. The AIO images are designed to be easy to use and requires no configuration. Models configuration can be found here separated by size.

In the AIO images there are models configured with the names of OpenAI models, however, they are really backed by Open Source models. You can find the table below

| Category | Model name | Real model | | Text Generation | gpt-4 | phi-2(CPU) or hermes-2-pro-mistral(GPU) | | Multimodal | gpt-4-vision-preview | bakllava(CPU) or llava-1.6-mistral(GPU) | | Text generation | stablediffusion | stablediffusion(CPU) dreamshaper-8 (GPU) | | Audio transcription | whisper-1 | whisper with the whisper-base model | | Text to Audio | tts-1 | the en-us-amy-low.onnx model with rhasspy | | Embeddings | text-embedding-ada-002 | |

Usage link

Select the image (CPU or GPU) and start the container with Docker:

  # CPU example
docker run -p 8080:8080 --name local-ai -ti localai/localai:latest-aio-cpu
  

LocalAI will automatically download all the required models, and the API will be available at localhost:8080.

Available images link

Available environment variables link

The AIO Images are inheriting the same environment variables as the base images and the environment of LocalAI (that you can inspect by calling --help). However, it supports additional environment variables available only from the container image