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Expand Up @@ -34,6 +34,25 @@ to eval teacher policy,
```bash
python main.py eval --task SimpleDoorKey --loaddir train --savedir eval --eval_teacher
```
## Local LLM and API
Please follow the instruction from [FastChat](https://github.com/lm-sys/FastChat) to install Vicuna model on local sever
Here are the commands to launch the API in terminal:

Launch the controller
```bash
python3 -m fastchat.serve.controller --host localhost --port <controller_port>
```

to launch the model worker
```bash
python3 -m fastchat.serve.controller --host localhost --port <controller_port>
```

to launch the API
```bash
python3 -m fastchat.serve.controller --host localhost --port <controller_port>
```


## Logging details
Tensorboard logging is enabled by default for all algorithms. The logger expects that you supply an argument named ```logdir```, containing the root directory you want to store your logfiles
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