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LLaMA-LoRA-Tuner-UI-Demo
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LLaMA-LoRA-Tuner-UI-Demo
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server_name: 0.0.0.0

# Basic Configurations
data_dir: ./data
default_base_model_name: decapoda-research/llama-7b-hf
base_model_choices:
  - decapoda-research/llama-7b-hf
  - nomic-ai/gpt4all-j
  - databricks/dolly-v2-7b
  - databricks/dolly-v2-12b
load_8bit: false
trust_remote_code: false

# timezone: Atlantic/Reykjavik

# auth_username: username
# auth_password: password

# UI Customization
ui_title: LLM Tuner (UI Demo Mode)
# ui_emoji: 🦙🎛️
ui_subtitle: "This is a UI demo of <a href=\"https://github.com/zetavg/LLaMA-LoRA\" target=\"_blank\">LLaMA-LoRA</a>, toolkit for evaluating and fine-tuning LLaMA models. Run the actual one: <a href=\"https://colab.research.google.com/github/zetavg/LLaMA-LoRA/blob/main/LLaMA_LoRA.ipynb\" target=\"_parent\"><img style=\"display: inline;\" src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
ui_dev_mode_title_prefix: ""
ui_show_sys_info: false

# WandB
# enable_wandb: false
# wandb_api_key: ""
# default_wandb_project: LLM-Tuner

# Special Modes
ui_dev_mode: true