# =================== Lord Of Large Language Multimodal Systems Configuration file =========================== version: 81 binding_name: null model_name: null model_variant: null model_type: null show_news_panel: True # Security measures turn_on_setting_update_validation: True turn_on_code_execution: True turn_on_code_validation: True turn_on_open_file_validation: False turn_on_send_file_validation: False force_accept_remote_access: false # Server information headless_server_mode: False allowed_origins: [] # Host information host: localhost port: 9600 # Genreration parameters discussion_prompt_separator: "!@>" seed: -1 ctx_size: 4084 max_n_predict: 4096 min_n_predict: 512 temperature: 0.9 top_k: 50 top_p: 0.95 repeat_last_n: 40 repeat_penalty: 1.2 num_experts_per_token: 2 n_threads: 8 #Personality parameters personalities: ["generic/lollms"] active_personality_id: 0 override_personality_model_parameters: false #if true the personality parameters are overriden by those of the configuration (may affect personality behaviour) extensions: [] user_name: user user_description: "" use_user_name_in_discussions: false use_model_name_in_discussions: false user_avatar: default_user.svg use_user_informations_in_discussion: false # UI parameters discussion_db_name: default # Automatic updates debug: False debug_log_file_path: "" auto_update: true auto_sync_personalities: true auto_sync_extensions: true auto_sync_bindings: true auto_sync_models: true auto_save: true auto_title: false # Install mode (cpu, cpu-noavx, nvidia-tensorcores, nvidia, amd-noavx, amd, apple-intel, apple-silicon) hardware_mode: nvidia-tensorcores # Automatically open the browser auto_show_browser: true # copy to clipboard copy_to_clipboard_add_all_details: false # Voice service xtts_enable: false xtts_base_url: http://localhost:8020 auto_read: false xtts_current_voice: null xtts_current_language: en # Image generation service enable_sd_service: false sd_base_url: http://localhost:7860 # Image generation service comfyui enable_comfyui_service: false comfyui_base_url: http://127.0.0.1:8188/ # Motion control service enable_motion_ctrl_service: false motion_ctrl_base_url: http://localhost:7861 # ollama service enable_ollama_service: false ollama_base_url: http://localhost:11434 # petals service enable_petals_service: false petals_base_url: http://localhost:8064 petals_model_path: TinyLlama/TinyLlama-1.1B-Chat-v1.0 petals_device: cuda # lollms service enable_lollms_service: false lollms_base_url: http://localhost:1234 # elastic search service elastic_search_service: false elastic_search_url: http://localhost:9200 # vll service enable_vllm_service: false vllm_url: http://localhost:8000 vllm_model_path: TinyLlama/TinyLlama-1.1B-Chat-v1.0 vllm_gpu_memory_utilization: 0.9 vllm_max_model_len: 4096 vllm_max_num_seqs: 256 # Audio media_on: false audio_in_language: 'en-US' auto_speak: false audio_out_voice: null audio_pitch: 1 audio_auto_send_input: true audio_silenceTimer: 5000 # Data vectorization activate_skills_lib: false # Activate vectorizing previous conversations skills_lib_database_name: "default" # Default skills database summerize_discussion: false # activate discussion summary (better but adds computation time) max_summary_size: 512 # in tokens data_vectorization_visualize_on_vectorization: false use_files: true # Activate using files data_vectorization_activate: true # To activate/deactivate data vectorization data_vectorization_method: "tfidf_vectorizer" #"model_embedding" or "tfidf_vectorizer" data_visualization_method: "PCA" #"PCA" or "TSNE" data_vectorization_sentense_transformer_model: "all-MiniLM-L6-v2" # you can use another model by setting its name here or its path data_vectorization_save_db: true # For each new session, new files data_vectorization_chunk_size: 512 # chunk size data_vectorization_overlap_size: 128 # overlap between chunks size data_vectorization_nb_chunks: 2 # number of chunks to use data_vectorization_put_chunk_informations_into_context: false # if true then each chunk will be preceded by its information which may waste some context space but allow the ai to point where it found th einformation data_vectorization_build_keys_words: true # If true, when querrying the database, we use keywords generated from the user prompt instead of the prompt itself. data_vectorization_force_first_chunk: false # If true, the first chunk of the document will systematically be used data_vectorization_make_persistance: false # If true, the data will be persistant webween runs # Activate internet search activate_internet_search: false internet_vectorization_chunk_size: 512 # chunk size internet_vectorization_overlap_size: 128 # overlap between chunks size internet_vectorization_nb_chunks: 2 # number of chunks to use internet_nb_search_pages: 3 # number of pages to select internet_quick_search: False # If active the search engine will not load and read the webpages internet_activate_search_decision: False # If active the ai decides by itself if it needs to do search # Helpers pdf_latex_path: null # boosting information positive_boost: null negative_boost: null current_language: null fun_mode: False # webui configurations show_code_of_conduct: true activate_audio_infos: true # whisper configuration whisper_model: base