mirror of
https://github.com/ParisNeo/lollms.git
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311 lines
9.7 KiB
YAML
311 lines
9.7 KiB
YAML
# =================== Lord Of Large Language Multimodal Systems Configuration file ===========================
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version: 130
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binding_name: null
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model_name: null
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model_variant: null
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model_type: null
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show_news_panel: true
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# Security measures
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turn_on_setting_update_validation: true
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turn_on_code_execution: true
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turn_on_code_validation: true
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turn_on_open_file_validation: true
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turn_on_send_file_validation: true
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turn_on_language_validation: true
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force_accept_remote_access: false
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# Server information
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headless_server_mode: false
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allowed_origins: []
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# Host information
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host: localhost
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port: 9600
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app_custom_logo: ""
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# Genreration parameters
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discussion_prompt_separator: "!@>"
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start_header_id_template: "!@>"
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end_header_id_template: ": "
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separator_template: "\n"
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start_user_header_id_template: "!@>"
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end_user_header_id_template: ": "
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end_user_message_id_template: ""
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start_ai_header_id_template: "!@>"
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end_ai_header_id_template: ": "
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end_ai_message_id_template: ""
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system_message_template: "system"
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use_continue_message: true
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seed: -1
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ctx_size: 4084
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max_n_predict: 4096
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min_n_predict: 1024
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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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num_experts_per_token: 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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use_model_name_in_discussions: false
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user_avatar: null
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use_user_informations_in_discussion: false
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# UI parameters
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discussion_db_name: default
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# Automatic updates
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debug: false
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debug_show_final_full_prompt: false
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debug_show_chunks: false
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debug_log_file_path: ""
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auto_update: true
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auto_sync_personalities: true
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auto_sync_extensions: true
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auto_sync_bindings: true
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auto_sync_models: true
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auto_save: true
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auto_title: false
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# Install mode (cpu, cpu-noavx, nvidia-tensorcores, nvidia, amd-noavx, amd, apple-intel, apple-silicon)
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hardware_mode: nvidia-tensorcores
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# Automatically open the browser
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auto_show_browser: true
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# copy to clipboard
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copy_to_clipboard_add_all_details: false
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# -------------------- Services global configurations --------------------------
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# Select the active test to speach, text to image and speach to text services
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active_tts_service: "None" # xtts (offline), openai_tts (API key required), elevenlabs_tts (API key required)
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active_tti_service: "None" # autosd (offline), dall-e (online)
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active_stt_service: "None" # whisper (offline), asr (offline or online), openai_whiosper (API key required)
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active_ttm_service: "None" # musicgen (offline)
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# -------------------- Services --------------------------
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# ***************** STT *****************
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stt_input_device: 0
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# STT service
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stt_listening_threshold: 1000
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stt_silence_duration: 2
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stt_sound_threshold_percentage: 10
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stt_gain: 1.0
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stt_rate: 44100
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stt_channels: 1
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stt_buffer_size: 10
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stt_activate_word_detection: false
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stt_word_detection_file: null
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# ASR STT service
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asr_enable: false
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asr_base_url: http://localhost:9000
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# openai_whisper configuration
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openai_whisper_key: ""
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openai_whisper_model: "whisper-1"
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# whisper configuration
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whisper_activate: false
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whisper_model: base
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# ***************** TTS *****************
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tts_output_device: 0
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# Voice service
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auto_read: false
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xtts_current_voice: null
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xtts_current_language: en
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xtts_stream_chunk_size: 100
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xtts_temperature: 0.75
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xtts_length_penalty: 1.0
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xtts_repetition_penalty: 5.0
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xtts_top_k: 50
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xtts_top_p: 0.85
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xtts_speed: 1
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xtts_enable_text_splitting: true
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xtts_freq: 22050
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# openai_whisper configuration
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openai_tts_key: ""
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openai_tts_model: "tts-1"
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openai_tts_voice: "alloy"
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elevenlabs_tts_key: ""
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elevenlabs_tts_model_id: "eleven_turbo_v2_5"
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elevenlabs_tts_voice_stability: 0.5
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elevenlabs_tts_voice_boost: 0.5
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elevenlabs_tts_voice_id: EXAVITQu4vr4xnSDxMaL
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# ***************** TTI *****************
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use_negative_prompt: true
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use_ai_generated_negative_prompt: false
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negative_prompt_generation_prompt: Generate negative prompt for the following prompt. negative prompt is a set of words that describe things we do not want to have in the generated image.
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default_negative_prompt: (((text))), (((ugly))), (((duplicate))), ((morbid)), ((mutilated)), out of frame, extra fingers, mutated hands, ((poorly drawn hands)), ((poorly drawn face)), (((mutation))), (((deformed))), blurry, ((bad anatomy)), (((bad proportions))), ((extra limbs)), cloned face, (((disfigured))), ((extra arms)), (((extra legs))), mutated hands, (fused fingers), (too many fingers), (((long neck))), ((watermark)), ((robot eyes))
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# Image generation service
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enable_sd_service: false
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sd_base_url: http://localhost:7860
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# Image generation service
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enable_fooocus_service: false
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fooocus_base_url: http://localhost:7860
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# diffuser
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diffusers_offloading_mode: sequential_cpu_offload # sequential_cpu_offload
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diffusers_model: PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
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# Dall e service key
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dall_e_key: ""
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dall_e_generation_engine: "dall-e-3"
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# Midjourney service key
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midjourney_key: ""
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midjourney_timeout: 300
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midjourney_retries: 1
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# Image generation service comfyui
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enable_comfyui_service: false
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comfyui_base_url: http://127.0.0.1:8188/
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comfyui_model: v1-5-pruned-emaonly.ckpt
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# Motion control service
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enable_motion_ctrl_service: false
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motion_ctrl_base_url: http://localhost:7861
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# ***************** TTT *****************
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# ollama service
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enable_ollama_service: false
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ollama_base_url: http://localhost:11434
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# petals service
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enable_petals_service: false
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petals_base_url: http://localhost:8064
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petals_model_path: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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petals_device: cuda
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# lollms service
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enable_lollms_service: false
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lollms_access_keys : [] # set a list of keys separated by coma to restrict access
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activate_lollms_server: true
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activate_ollama_emulator: true
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activate_openai_emulator: true
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activate_mistralai_emulator: true
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# elastic search service
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elastic_search_service: false
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elastic_search_url: http://localhost:9200
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# vll service
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enable_vllm_service: false
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vllm_url: http://localhost:8000
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vllm_model_path: TinyLlama/TinyLlama-1.1B-Chat-v1.0
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vllm_gpu_memory_utilization: 0.9
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vllm_max_model_len: 4096
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vllm_max_num_seqs: 256
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# Audio
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media_on: false
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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
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audio_silenceTimer: 5000
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# Data vectorization
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rag_databases: [] # This is the list of paths to database sources. Each database is a folder containing data
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rag_vectorizer: tfidf # possible values semantic, tfidf, openai
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rag_vectorizer_model: sentence-transformers/bert-base-nli-mean-tokens # The model name if applicable
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rag_vectorizer_parameters: null # Parameters of the model in json format
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rag_chunk_size: 512 # number of tokens per chunk
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rag_overlap: 0 # number of tokens of overlap
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rag_n_chunks: 4 #Number of chunks to recover from the database
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rag_clean_chunks: true #Removed all uinecessary spaces and line returns
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rag_follow_subfolders: true #if true the vectorizer will vectorize the content of subfolders too
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rag_check_new_files_at_startup: false #if true, the vectorizer will automatically check for any new files in the folder and adds it to the database
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rag_preprocess_chunks: false #if true, an LLM will preprocess the content of the chunk before writing it in a simple format
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rag_activate_multi_hops: false #if true, we use multi hops algorithm to do multiple researches until the AI has enough data
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rag_min_nb_tokens_in_chunk: 10 #this removed any useless junk ith less than x tokens
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rag_max_n_hops: 3 #We set the maximum number of hop in multi hops rag
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contextual_summary: false #If activated this will completely replace the rag and instead will use contextual summary
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activate_skills_lib: false # Activate vectorizing previous conversations
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skills_lib_database_name: "default" # Default skills database
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max_summary_size: 512 # in tokens
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data_vectorization_visualize_on_vectorization: false
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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_sentense_transformer_model: "all-MiniLM-L6-v2" # you can use another model by setting its name here or its path
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data_vectorization_save_db: true # 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_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
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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.
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data_vectorization_force_first_chunk: false # If true, the first chunk of the document will systematically be used
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data_vectorization_make_persistance: false # If true, the data will be persistant webween runs
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# Activate internet search
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activate_internet_search: false
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activate_internet_pages_judgement: true
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internet_vectorization_chunk_size: 512 # chunk size
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internet_vectorization_overlap_size: 0 # overlap between chunks size
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internet_vectorization_nb_chunks: 4 # number of chunks to use
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internet_nb_search_pages: 8 # number of pages to select
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internet_quick_search: false # If active the search engine will not load and read the webpages
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internet_activate_search_decision: false # If active the ai decides by itself if it needs to do search
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# Helpers
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pdf_latex_path: null
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# boosting information
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positive_boost: null
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negative_boost: null
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current_language: english
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fun_mode: false
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# webui configurations
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show_code_of_conduct: true
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activate_audio_infos: true
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