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# DReamMachine Configuration File
# All models, prompts, and settings are configurable here
# Model Configuration
models:
# Dreamer models - High creativity, high temperature
dreamers:
- model_id: "mistralai/Mixtral-8x7B-Instruct-v0.1"
temperature: 0.9
max_tokens: 1000
- model_id: "meta-llama/Meta-Llama-3-8B-Instruct"
temperature: 0.85
max_tokens: 1000
- model_id: "mistralai/Mistral-7B-Instruct-v0.3"
temperature: 0.9
max_tokens: 1000
# Deep Thinker - Analytical reasoning
deep_thinker:
model_id: "meta-llama/Meta-Llama-3-70B-Instruct"
temperature: 0.3
max_tokens: 1500
# Curator - Evaluation and scoring
curator:
model_id: "meta-llama/Meta-Llama-3-70B-Instruct"
temperature: 0.2
max_tokens: 800
# Writer - Story/pitch creation
writer:
model_id: "mistralai/Mistral-7B-Instruct-v0.2"
temperature: 0.6
max_tokens: 1200
# Logger - Technical extraction
logger:
model_id: "mistralai/Mistral-7B-Instruct-v0.2"
temperature: 0.4
max_tokens: 800
# Narrator - Final presentation
narrator:
model_id: "mistralai/Mistral-7B-Instruct-v0.2"
temperature: 0.5
max_tokens: 1000
# Hugging Face Configuration
huggingface:
use_inference_api: true
dataset_name: "dreammachine-logs"
dataset_private: true
use_zero_gpu: false # Disabled - using Inference API (no local GPU needed)
# Orchestration Settings
orchestration:
max_iterations: 1000 # Maximum dream rounds
run_interval: 3600 # Seconds between rounds (1 hour)
batch_mode: true
max_runtime: 21600 # Maximum runtime in seconds (6 hours)
auto_advance_threshold:
feasibility_min: 7
originality_min: 5
# Scoring Configuration
scoring:
metrics:
- originality # 1-10
- feasibility # 1-10
- global_impact # 1-10
- narrative_coherence # 1-10
reforge_criteria:
feasibility_threshold: 7
originality_threshold: 5
# Constraint System (for A.1 Setup)
constraints:
physics: "Must use current or near-future physics (within 50 years)"
ethics: "Must solve a global humanitarian problem"
feasibility: "Must be achievable with existing materials or near-term developments"
scope: "Must have measurable positive impact on at least 1 million people"
# Logging Settings
logging:
output_format: "json"
chunk_size: 100 # Entries per file
log_directory: "./logs"
save_to_hf_dataset: true
verbose: true
# Prompt Detail Level (configurable)
prompt_detail_level: "full" # Options: "simple", "moderate", "full"
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