delete tabbyAPI/config.yml

tabbyAPI/config.yml

@@ -1,137 +0,0 @@
-# Sample YAML file for configuration.
-# Comment and uncomment values as needed. Every value has a default within the application.
-# This file serves to be a drop in for config.yml
-
-# Unless specified in the comments, DO NOT put these options in quotes!
-# You can use https://www.yamllint.com/ if you want to check your YAML formatting.
-
-# Options for networking
-network:
-  # The IP to host on (default: 127.0.0.1).
-  # Use 0.0.0.0 to expose on all network adapters
-  host: 127.0.0.1
-
-  # The port to host on (default: 5000)
-  port: 5000
-
-  # Disable HTTP token authenticaion with requests
-  # WARNING: This will make your instance vulnerable!
-  # Turn on this option if you are ONLY connecting from localhost
-  disable_auth: False
-
-# Options for logging
-logging:
-  # Enable prompt logging (default: False)
-  prompt: False
-
-  # Enable generation parameter logging (default: False)
-  generation_params: False
-
-# Options for sampling
-sampling:
-  # Override preset name. Find this in the sampler-overrides folder (default: None)
-  # This overrides default fallbacks for sampler values that are passed to the API
-  # Server-side overrides are NOT needed by default
-  # WARNING: Using this can result in a generation speed penalty
-  #override_preset: 
-
-# Options for development
-developer:
-  # Skips exllamav2 version check (default: False)
-  # It's highly recommended to update your dependencies rather than enabling this flag
-  # WARNING: Don't set this unless you know what you're doing!
-  #unsafe_launch: False
-
-# Options for model overrides and loading
-model:
-  # Overrides the directory to look for models (default: models)
-  # Windows users, DO NOT put this path in quotes! This directory will be invalid otherwise.
-  model_dir: models
-
-  # An initial model to load. Make sure the model is located in the model directory!
-  # A model can be loaded later via the API.
-  # REQUIRED: This must be filled out to load a model on startup!
-  model_name:
-
-  # Sends dummy model names when the models endpoint is queried
-  # Enable this if the program is looking for a specific OAI model
-  #use_dummy_models: False
-
-  # The below parameters apply only if model_name is set
-
-  # Max sequence length (default: Empty)
-  # Fetched from the model's base sequence length in config.json by default
-  #max_seq_len:
-
-  # Overrides base model context length (default: Empty)
-  # WARNING: Don't set this unless you know what you're doing!
-  # Only use this if the model's base sequence length in config.json is incorrect (ex. Mistral/Mixtral models)
-  #override_base_seq_len:
-
-  # Automatically allocate resources to GPUs (default: True)
-  #gpu_split_auto: True
-
-  # An integer array of GBs of vram to split between GPUs (default: [])
-  #gpu_split: [20.6, 24]
-
-  # Rope scale (default: 1.0)
-  # Same thing as compress_pos_emb
-  # Only use if your model was trained on long context with rope (check config.json)
-  # Leave blank to pull the value from the model
-  #rope_scale: 1.0
-
-  # Rope alpha (default: 1.0)
-  # Same thing as alpha_value
-  # Leave blank to automatically calculate alpha
-  #rope_alpha: 1.0
-
-  # Disable Flash-attention 2. Set to True for GPUs lower than Nvidia's 3000 series. (default: False)
-  #no_flash_attention: False
-
-  # Enable 8 bit cache mode for VRAM savings (slight performance hit). Possible values FP16, FP8. (default: FP16)
-  #cache_mode: FP16
-
-  # Set the prompt template for this model. If empty, chat completions will be disabled. (default: Empty)
-  # NOTE: Only works with chat completion message lists!
-  #prompt_template:
-
-  # Number of experts to use PER TOKEN. Fetched from the model's config.json if not specified (default: Empty)
-  # WARNING: Don't set this unless you know what you're doing!
-  # NOTE: For MoE models (ex. Mixtral) only!
-  #num_experts_per_token:
-
-  # Enables CFG support (default: False)
-  # WARNING: This flag disables Flash Attention! (a stopgap fix until it's fixed in upstream)
-  #use_cfg: False
-
-  # Enables fasttensors to possibly increase model loading speeds (default: False)
-  #fasttensors: true
-
-  # Options for draft models (speculative decoding). This will use more VRAM!
-  #draft:
-    # Overrides the directory to look for draft (default: models)
-    #draft_model_dir: models
-
-    # An initial draft model to load. Make sure this model is located in the model directory!
-    # A draft model can be loaded later via the API.
-    #draft_model_name: A model name
-  
-    # Rope scale for draft models (default: 1.0)
-    # Same thing as compress_pos_emb
-    # Only use if your draft model was trained on long context with rope (check config.json)
-    #draft_rope_scale: 1.0
-
-    # Rope alpha for draft model (default: 1.0)
-    # Same thing as alpha_value
-    # Leave blank to automatically calculate alpha value
-    #draft_rope_alpha: 1.0
-  
-  # Options for loras
-  #lora:
-    # Overrides the directory to look for loras (default: loras)
-    #lora_dir: loras
-    
-    # List of loras to load and associated scaling factors (default: 1.0). Comment out unused entries or add more rows as needed.
-    #loras:
-    #- name: lora1
-    #  scaling: 1.0