File size: 1,637 Bytes
f1e9fc1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 |
# Codette Configuration Guide
## Environment Variables
- `HUGGINGFACEHUB_API_TOKEN`: HuggingFace API token for sentiment analysis and model access
- `OPENAI_API_KEY`: Optional OpenAI API key for additional model support
- `LOG_LEVEL`: Logging level (DEBUG, INFO, WARNING, ERROR)
- `PORT`: Port number for the web server (default: 7860)
## Model Configuration
Codette supports multiple language models in a fallback chain:
1. Mistral-7B-Instruct (Primary)
- 7B parameter instruction-tuned model
- Requires 16GB+ VRAM
- Configuration: 8-bit quantization, fp16
2. Phi-2 (Secondary)
- Lightweight yet powerful alternative
- Requires 8GB+ VRAM
- Configuration: fp16
3. GPT-2 (Fallback)
- Minimal requirements
- Always available option
- Configuration: Standard loading
## Consciousness Parameters
### Memory System
- `response_memory`: Maintains last 50 responses
- `memory_context`: Uses last 5 responses for learning
- `memory_synthesis`: Uses last 2 responses for consciousness
### Quantum States
- Stored in .cocoon files
- Format: JSON with quantum_state and chaos_state arrays
- Used for creative and probabilistic reasoning
### Perspective System
- Newton: temperature = 0.3 (analytical)
- Da Vinci: temperature = 0.9 (creative)
- Human Intuition: temperature = 0.7 (empathetic)
- Quantum Computing: temperature = 0.8 (probabilistic)
## Response Generation
### Text Generation Parameters
- Max length: 512 tokens (default)
- Temperature range: 0.3 - 0.9
- Top-p: 0.9
- Context window: 2048 tokens
- Special token handling for different models |