FILE_INVENTORY.md

# 📁 Complete File Inventory for CodeLlama Model Migration

## 📊 Overview

This document lists all files created/modified for the CodeLlama model fine-tuning project.

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## 📝 Documentation Files (.md)

### Migration & Progress Tracking
1. **MIGRATION_PROGRESS.md** - Main migration tracking document
2. **TRAINING_STARTED_SUMMARY.md** - Initial training summary
3. **TRAINING_COMPLETE.md** - Training completion report (chat format model)
4. **FINAL_ANSWER.md** - Final answer about format issues and solutions

### Analysis & Guides
5. **HYPERPARAMETER_ANALYSIS.md** - Optimal hyperparameters for CodeLlama
6. **HYPERPARAMETER_TUNING_GUIDE.md** - Guide for tuning inference parameters
7. **DATASET_SPLIT_VALIDATION_GUIDE.md** - Dataset splitting guidelines
8. **FORMAT_ISSUE_ANALYSIS.md** - Analysis of format mismatch issues
9. **SOLUTION_DATASET_REFORMAT.md** - Solution for dataset reformatting

### Training Guides
10. **TRAINING_GUIDE.md** - General training guide
11. **RETRAIN_WITH_CHAT_FORMAT.md** - Instructions for retraining with chat format

### Testing & Evaluation
12. **TEST_COMMANDS.md** - Various testing commands
13. **QUICK_TEST_COMMAND.md** - Quick reference for testing
14. **TEST_RESULTS_NEW_MODEL.md** - Test results for new chat format model
15. **EVALUATION_REPORT.md** - Detailed evaluation report
16. **EVALUATION_SUMMARY.md** - Summary of evaluation results
17. **COMPARISON_REPORT.md** - Detailed comparison: Expected vs Generated
18. **QUICK_COMPARISON_SUMMARY.md** - Quick comparison summary

### References
19. **INFERENCE_GUIDE.md** - Inference usage guide
20. **QUICK_REFERENCE.md** - Quick reference guide
21. **SUMMARY_FIX.md** - Summary of fixes applied

### Current Document
22. **FILE_INVENTORY.md** - This file (complete file listing)

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## 🐍 Python Scripts (.py)

### Dataset Processing
1. **reformat_dataset_for_codellama.py** - Reformat dataset to CodeLlama chat format
2. **scripts/dataset_split.py** - Split dataset into train/val/test
3. **scripts/validate_dataset.py** - Validate dataset format and quality

### Training Scripts
4. **scripts/training/finetune_codellama.py** - Main fine-tuning script for CodeLlama

### Inference Scripts
5. **scripts/inference/inference_codellama.py** - Inference script (adapted for CodeLlama)

### Testing Scripts
6. **test_samples.py** - Test model on multiple samples from dataset
7. **test_single_sample.py** - Test on a single training sample
8. **test_single_training_sample.py** - Test with exact training format
9. **test_exact_training_format.py** - Test with exact format matching
10. **test_new_model.py** - Test the new fine-tuned model

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## 🔧 Shell Scripts (.sh)

1. **start_training.sh** - Start training with original format
2. **start_training_chat_format.sh** - Start training with chat format dataset
3. **test_inference.sh** - Quick inference test script

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## 📊 Dataset Files

### Raw Datasets
1. **datasets/raw/elinnos_fifo_mistral_100samples_converted.jsonl** - Original converted dataset

### Processed Datasets
2. **datasets/processed/elinnos_fifo_codellama_v1.jsonl** - Initial CodeLlama formatted dataset (94 samples)
3. **datasets/processed/elinnos_fifo_codellama_chat_format.jsonl** - Chat template format dataset (94 samples)

### Split Datasets (Original Format)
4. **datasets/processed/split/train.jsonl** - Training split (71 samples)
5. **datasets/processed/split/val.jsonl** - Validation split (9 samples)
6. **datasets/processed/split/test.jsonl** - Test split (14 samples)

### Split Datasets (Chat Format)
7. **datasets/processed/split_chat_format/train.jsonl** - Chat format training split (70 samples)
8. **datasets/processed/split_chat_format/val.jsonl** - Chat format validation split (9 samples)
9. **datasets/processed/split_chat_format/test.jsonl** - Chat format test split (15 samples)

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## 🤖 Model Files

### Base Model
- **models/base-models/CodeLlama-7B-Instruct/** - Base CodeLlama model directory
  - Contains all base model files (config.json, tokenizer files, model weights, etc.)

### Fine-Tuned Models

#### Model v1 (Original Format - Has Issues)
- **training-outputs/codellama-fifo-v1/** - First fine-tuned model
  - `adapter_model.safetensors` - LoRA adapter weights
  - `adapter_config.json` - LoRA configuration
  - `training_config.json` - Training configuration
  - `checkpoint-25/` - Checkpoint at step 25
  - `checkpoint-45/` - Checkpoint at step 45

#### Model v2 (Chat Format - Working!)
- **training-outputs/codellama-fifo-v2-chat/** - Fine-tuned model with chat format ✅
  - `adapter_model.safetensors` - LoRA adapter weights (458M)
  - `adapter_config.json` - LoRA configuration
  - `training_config.json` - Training configuration
  - `chat_template.jinja` - Chat template file
  - `checkpoint-25/` - Final checkpoint (completed training)

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## 📋 Configuration & Log Files

### Logs
1. **training_fresh_start.log** - Log from initial training run
2. **training_chat_format.log** - Log from chat format training run
3. **evaluation_output.log** - Evaluation output log

### JSON Files
4. **evaluation_results.json** - Evaluation results in JSON format

### Download Files
5. **download_log.txt** - Model download log
6. **download_pid.txt** - Download process ID

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## 📂 Directory Structure

```
codellama-migration/
├── 📄 Documentation (22 .md files)
├── 🐍 Scripts/
│   ├── dataset_split.py
│   ├── validate_dataset.py
│   ├── training/
│   │   └── finetune_codellama.py
│   └── inference/
│       └── inference_codellama.py
├── 📊 Datasets/
│   ├── raw/
│   │   └── elinnos_fifo_mistral_100samples_converted.jsonl
│   └── processed/
│       ├── elinnos_fifo_codellama_v1.jsonl
│       ├── elinnos_fifo_codellama_chat_format.jsonl
│       ├── split/ (train/val/test - original format)
│       └── split_chat_format/ (train/val/test - chat format)
├── 🤖 Models/
│   ├── base-models/
│   │   └── CodeLlama-7B-Instruct/ (Base model)
│   └── training-outputs/
│       ├── codellama-fifo-v1/ (Old model - has issues)
│       └── codellama-fifo-v2-chat/ (New model - working! ✅)
└── 🔧 Scripts & Tools/
    ├── reformat_dataset_for_codellama.py
    ├── start_training.sh
    ├── start_training_chat_format.sh
    ├── test_*.py (Multiple test scripts)
    └── *.log files
```

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## ✅ Key Files Summary

### Most Important Files:

1. **Training Script**: `scripts/training/finetune_codellama.py`
2. **Inference Script**: `scripts/inference/inference_codellama.py`
3. **Working Model**: `training-outputs/codellama-fifo-v2-chat/`
4. **Chat Format Dataset**: `datasets/processed/split_chat_format/`
5. **Training Script**: `start_training_chat_format.sh`

### Key Documentation:

1. **MIGRATION_PROGRESS.md** - Overall progress tracking
2. **TRAINING_COMPLETE.md** - Training completion details
3. **COMPARISON_REPORT.md** - Expected vs Generated comparison
4. **FINAL_ANSWER.md** - Summary of issues and solutions

---

## 📊 File Statistics

- **Total Documentation Files**: 22
- **Total Python Scripts**: 10
- **Total Shell Scripts**: 3
- **Total Dataset Files**: 9
- **Fine-Tuned Models**: 2 (v1 has issues, v2 working ✅)
- **Total Files**: ~100+ (including model checkpoints and configs)

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## 🎯 Current Status

**Working Model**: `training-outputs/codellama-fifo-v2-chat/` ✅  
**Dataset Used**: `datasets/processed/split_chat_format/` ✅  
**Status**: Model is working correctly, generates valid Verilog code

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**Last Updated**: After successful training with chat format dataset