mirror of
https://github.com/ParisNeo/lollms.git
synced 2024-12-30 09:28:51 +00:00
97 lines
2.7 KiB
YAML
97 lines
2.7 KiB
YAML
# =================== Lord Of Large Language Models Configuration file ===========================
|
|
version: 40
|
|
binding_name: null
|
|
model_name: null
|
|
|
|
|
|
|
|
# Host information
|
|
host: localhost
|
|
port: 9600
|
|
|
|
# Genreration parameters
|
|
discussion_prompt_separator: "!@>"
|
|
seed: -1
|
|
n_predict: 1024
|
|
ctx_size: 4084
|
|
min_n_predict: 512
|
|
temperature: 0.9
|
|
top_k: 50
|
|
top_p: 0.95
|
|
repeat_last_n: 40
|
|
repeat_penalty: 1.2
|
|
|
|
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
|
|
user_avatar: default_user.svg
|
|
use_user_informations_in_discussion: false
|
|
|
|
# UI parameters
|
|
discussion_db_name: database.db
|
|
|
|
# Automatic updates
|
|
debug: False
|
|
auto_update: 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
|
|
|
|
# Voice service
|
|
enable_voice_service: false
|
|
xtts_base_url: http://127.0.0.1:8020
|
|
auto_read: false
|
|
current_voice: null
|
|
current_language: en
|
|
|
|
# Image generation service
|
|
enable_sd_service: false
|
|
sd_base_url: http://127.0.0.1:7860
|
|
|
|
# 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_ltm: false # Activate vectorizing previous conversations
|
|
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_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
|
|
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.
|
|
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
|
|
|
|
|
|
# Helpers
|
|
pdf_latex_path: null
|
|
|
|
# boosting information
|
|
positive_boost: null
|
|
negative_boost: null
|
|
force_output_language_to_be: null
|