Meta model for Cline
Try Llama 4 in Cline
You can try Llama 4 in Cline by connecting a provider or local inference server that offers Llama 4, then selecting it as your active coding model.
Why use Llama 4 in Cline?
- Evaluate a widely supported open-weight model inside VS Code.
- Use local or hosted Llama endpoints while keeping Cline as the coding interface.
- Compare Llama against frontier proprietary and open-weight alternatives on real tasks.
How to try it
- Install Cline.
- Connect a hosted provider or local endpoint that serves Llama 4.
- Select Llama 4 and run a small refactor or bug fix to validate quality.
Common questions
Can I self-host Llama for Cline?
Cline can connect to compatible local or hosted endpoints, so self-hosting is possible when your endpoint matches a supported provider interface.
Why include Llama in a model directory?
Llama is one of the main open-weight model families developers compare when choosing coding models.