lollms-webui/configs/config.yaml

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# =================== Lord Of Large Language Models Configuration file ===========================
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version: 35
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binding_name: null
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model_name: null
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# Host information
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host: localhost
port: 9600
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# Genreration parameters
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discussion_prompt_separator: "!@>"
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seed: -1
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n_predict: 1024
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ctx_size: 4084
min_n_predict: 512
temperature: 0.9
top_k: 50
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top_p: 0.95
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repeat_last_n: 40
repeat_penalty: 1.2
n_threads: 8
#Personality parameters
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personalities: ["generic/lollms"]
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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)
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extensions: []
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user_name: user
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user_description: ""
use_user_name_in_discussions: false
user_avatar: default_user.svg
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use_user_informations_in_discussion: false
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# UI parameters
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db_path: database.db
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# Automatic updates
debug: False
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auto_update: true
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auto_save: true
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auto_title: false
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# Enables gpu usage
enable_gpu: true
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# Automatically open the browser
auto_show_browser: true
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# Voice service
enable_voice_service: false
xtts_base_url: http://127.0.0.1:8020
auto_read: false
current_voice: null
current_language: en
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# Audio
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media_on: false
audio_in_language: 'en-US'
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auto_speak: false
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audio_out_voice: null
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audio_pitch: 1
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audio_auto_send_input: true
audio_silenceTimer: 5000
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# Data vectorization
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use_discussions_history: false # Activate vectorizing previous conversations
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summerize_discussion: false # activate discussion summary (better but adds computation time)
max_summary_size: 512 # in tokens
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data_vectorization_visualize_on_vectorization: false
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use_files: true # Activate using files
data_vectorization_activate: true # To activate/deactivate data vectorization
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data_vectorization_method: "tfidf_vectorizer" #"model_embedding" or "tfidf_vectorizer"
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data_visualization_method: "PCA" #"PCA" or "TSNE"
data_vectorization_save_db: False # 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
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data_vectorization_build_keys_words: false # If true, when querrying the database, we use keywords generated from the user prompt instead of the prompt itself.
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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