# The Trial Literary Analysis SLM

## Project Overview
Building a specialized Small Language Model (SLM) for comprehensive analysis of "The Trial" by Franz Kafka.

## Capabilities
- Factual Q&A about plot, characters, and timeline
- Literary analysis (themes, symbolism, narrative techniques)
- Creative content generation in Kafka's style
- Contextual conversation with cross-references

## Hardware Requirements
- GPU: 8-16GB VRAM (RTX 3080/4080 recommended)
- Storage: 50GB for models and data
- RAM: 16GB+ recommended

## Project Structure
```
the-trial-slm/
├── data/                   # Training datasets
├── models/                 # Model files and adapters
├── scripts/                # Training and utility scripts
├── notebooks/              # Jupyter notebooks for development
├── tests/                  # Evaluation and testing scripts
└── deployment/             # Ollama integration files
```

## Training Phases
1. **Data Preparation** (Weeks 1-2)
2. **Infrastructure Setup** (Week 3)
3. **Model Training** (Weeks 4-5)
4. **Ollama Integration** (Week 6)
5. **Testing & Refinement** (Week 7)

## Base Model
- **Primary**: Llama 3.2 3B Instruct
- **Method**: QLoRA fine-tuning
- **Target**: Consumer GPU deployment

## Key Differences from Monte Cristo Project
- **Source Text**: "The Trial" by Franz Kafka (Project Gutenberg #7849)
- **Literary Period**: Early 20th century existential literature
- **Key Themes**: Bureaucratic absurdity, alienation, guilt vs innocence
- **Style**: Absurdist, nightmarish, psychological realism
- **Protagonist**: Josef K. (bank clerk arrested without cause)
