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https://github.com/ParisNeo/lollms-webui.git
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74 lines
2.1 KiB
YAML
74 lines
2.1 KiB
YAML
# =================== Lord Of Large Language Models Configuration file ===========================
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version: 30
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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
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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
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min_n_predict: 512
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temperature: 0.9
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top_k: 50
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top_p: 0.95
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repeat_last_n: 40
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repeat_penalty: 1.2
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n_threads: 8
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#Personality parameters
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personalities: ["generic/lollms"]
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active_personality_id: 0
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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: ""
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use_user_name_in_discussions: false
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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
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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
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enable_gpu: true
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# Automatically open the browser
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auto_show_browser: true
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# Audio
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audio_in_language: 'en-US'
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audio_out_voice: null
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auto_speak: false
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audio_pitch: 1
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audio_auto_send_input: true
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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)
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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
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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"
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data_vectorization_save_db: False # For each new session, new files
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data_vectorization_chunk_size: 512 # chunk size
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data_vectorization_overlap_size: 128 # overlap between chunks size
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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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