tabby/website/docs/server.md

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# Server
## Docker
We recommend adding the following aliases to your `.bashrc` or `.zshrc` file:
```shell
# Save aliases to bashrc / zshrc
alias tabby="docker run -u $(id -u) -p 8080:8080 -v $HOME/.tabby:/data tabbyml/tabby"
# Alias for GPU (requires NVIDIA Container Toolkit)
alias tabby-gpu="docker run --gpus all -u $(id -u) -p 8080:8080 -v $HOME/.tabby:/data tabbyml/tabby"
```
After adding these aliases, you can use the `tabby` command as usual. Here are some examples of its usage:
```shell
# Usage
tabby --help
# Serve the model
tabby serve --model TabbyML/J-350M
```
## Configuration
Tabby maintains its runtime data in `~/.tabby`, with `~/.tabby/config.toml` serving as its configuration file.
You can modify the path to the data directory by setting the `TABBY_ROOT` variable. For example:
```
export TABBY_ROOT=/data/tabby
```
## Example `~/.tabby/config.toml`
```toml
[[repositories]]
git_url = "https://github.com/TabbyML/tabby.git"
```
### `[[repositories]]`
Git repositories integrated into Tabby for prompting/fine-tuning.