| # 🚀 CodeLlama-7B Migration Progress Tracker | |
| **Started:** November 25, 2025, 05:40 UTC | |
| **Status:** 🟡 In Progress | |
| **Target:** Complete migration with all critical + recommended updates | |
| --- | |
| ## 📁 Folder Structure | |
| ``` | |
| codellama-migration/ | |
| ├── models/ | |
| │ └── base-models/ # Base models directory | |
| ├── datasets/ | |
| │ ├── raw/ # Original datasets (reference) | |
| │ └── processed/ # CodeLlama-formatted datasets | |
| ├── training-outputs/ # Fine-tuned models will be saved here | |
| ├── scripts/ # Updated scripts (symlinks/copies) | |
| │ ├── training/ | |
| │ ├── inference/ | |
| │ └── api/ | |
| └── MIGRATION_PROGRESS.md # This file | |
| ``` | |
| --- | |
| ## ✅ Progress Checklist | |
| ### 🔴 Critical Tasks | |
| - [x] **Step 1:** Download CodeLlama-7B-Instruct model | |
| - Status: ✅ COMPLETED | |
| - Target: `codellama-migration/models/base-models/CodeLlama-7B-Instruct/` | |
| - Size: 26GB (actual size) | |
| - Started: 2025-11-25 05:55 UTC | |
| - Completed: 2025-11-25 06:03 UTC | |
| - Notes: ✅ Download completed successfully! | |
| - Files: 52 files (config.json, tokenizers, model weights) | |
| - Formats: Both .safetensors and .bin formats available | |
| - [x] **Step 2:** Create CodeLlama-formatted dataset | |
| - Status: ✅ Completed (UPDATED) | |
| - Source: `elinnos_fifo_mistral_100samples_converted.jsonl` | |
| - Target: `codellama-migration/datasets/processed/elinnos_fifo_codellama_v1.jsonl` | |
| - Format: System prompt + task → ```verilog code``` (NO labels) | |
| - Started: 2025-11-25 05:54 UTC | |
| - Completed: 2025-11-25 06:00 UTC (UPDATED) | |
| - Notes: ✅ 94 samples reformatted, 125.6 KB file size | |
| - **UPDATE:** System prompt PRESERVED for domain specificity (removes generic responses) | |
| - **KEY:** Removed "System:" and "User:" labels to prevent conversational output | |
| ### 🟡 Recommended Tasks | |
| - [x] **Step 3:** Update inference script with code extraction | |
| - Status: ✅ Completed | |
| - File: `codellama-migration/scripts/inference/inference_codellama.py` | |
| - Changes: | |
| - ✅ Added `extract_code_from_response()` function | |
| - ✅ Changed default temperature: 0.7 → 0.3 | |
| - ✅ Added code extraction to both streaming and non-streaming paths | |
| - Started: 2025-11-25 05:54 UTC | |
| - Completed: 2025-11-25 05:55 UTC | |
| - Notes: ✅ Code extraction handles ```verilog and generic ``` markers | |
| - [x] **Step 4:** Document training parameters | |
| - Status: ✅ Documented | |
| - Parameters: | |
| - Epochs: 3 → **5** | |
| - Learning Rate: 5e-5 → **2e-5** | |
| - LoRA Rank: 32 → **64** | |
| - LoRA Alpha: 64 → **128** | |
| - Temperature: 0.7 → **0.3** | |
| - Started: 2025-11-25 05:40 UTC | |
| - Completed: 2025-11-25 05:40 UTC | |
| - Notes: Parameters documented in migration plan | |
| ### ⚪ Optional Tasks | |
| - [ ] **Step 5:** Update Gradio interface | |
| - Status: ⏳ Pending | |
| - File: `semicon-finetuning-scripts/interface_app.py` | |
| - Started: - | |
| - Completed: - | |
| - Notes: - | |
| --- | |
| ## 📊 Configuration Changes | |
| ### Model Paths | |
| - **Old Base Model:** `/workspace/ftt/base_models/Mistral-7B-v0.1` | |
| - **New Base Model:** `/workspace/ftt/codellama-migration/models/base-models/CodeLlama-7B-Instruct` | |
| - **HuggingFace ID:** `codellama/CodeLlama-7b-Instruct-hf` | |
| ### Dataset Paths | |
| - **Old Dataset:** `elinnos_fifo_mistral_100samples_CLEAN_v2.jsonl` | |
| - **New Dataset:** `codellama-migration/datasets/processed/elinnos_fifo_codellama_v1.jsonl` | |
| ### Training Parameters | |
| - **Epochs:** 3 → **5** | |
| - **Learning Rate:** 5e-5 → **2e-5** | |
| - **LoRA Rank:** 32 → **64** | |
| - **LoRA Alpha:** 64 → **128** | |
| - **Temperature:** 0.7 → **0.3** | |
| --- | |
| ## 📝 Change Log | |
| ### 2025-11-25 05:40 UTC - Initial Setup | |
| - ✅ Created folder structure | |
| - ✅ Created this progress tracking document | |
| - ⏳ Starting Step 1: Download CodeLlama model | |
| ### 2025-11-25 05:54 UTC - Dataset & Scripts Updated | |
| - ✅ **Step 2 COMPLETE:** Created CodeLlama-formatted dataset | |
| - Source: `elinnos_fifo_mistral_100samples_converted.jsonl` | |
| - Output: `codellama-migration/datasets/processed/elinnos_fifo_codellama_v1.jsonl` | |
| - Format: Removed system prompt, added ```verilog markers | |
| - Samples: 94 reformatted successfully (100.5 KB) | |
| - ✅ **Step 3 COMPLETE:** Updated inference script | |
| - Added `extract_code_from_response()` function (lines 24-58) | |
| - Changed default temperature: 0.7 → 0.3 (line 142) | |
| - Added code extraction to streaming path (line 193) | |
| - Added code extraction to non-streaming path (line 219) | |
| - File: `codellama-migration/scripts/inference/inference_codellama.py` | |
| - ✅ Created symlinks for training scripts (no changes needed) | |
| - ⏳ Step 1 in progress: CodeLlama download (PID: 29047) | |
| ### 2025-11-25 05:55 UTC - Download Started | |
| - ✅ CodeLlama-7B-Instruct download initiated | |
| - 📝 Download log: `codellama-migration/download_log.txt` | |
| - ⏳ Estimated completion: 10-15 minutes | |
| ### 2025-11-25 06:00 UTC - Dataset Updated with System Prompt | |
| - ✅ **CRITICAL UPDATE:** Dataset reformatted to KEEP system prompt | |
| - **Why:** System prompt ensures domain-specific behavior and prevents generic responses | |
| - **Change:** | |
| - ✅ System prompt content PRESERVED: "You are Elinnos RTL Code Generator..." | |
| - ❌ "System:" and "User:" LABELS removed (these triggered conversational mode) | |
| - ✅ Format: Clean instructional text + task → code | |
| - **Result:** Best of both worlds - domain specificity + no conversation triggers | |
| - **File Size:** 125.6 KB (increased from 100.5 KB due to system prompt) | |
| - **Sample Format:** | |
| ``` | |
| Instruction: "You are Elinnos... [system prompt]\n\nGenerate a FIFO..." | |
| Response: "```verilog\nmodule...```" | |
| ``` | |
| ### 2025-11-25 06:03 UTC - CodeLlama Model Download Complete ✅ | |
| - ✅ **Step 1 COMPLETE:** CodeLlama-7B-Instruct successfully downloaded | |
| - **Location:** `codellama-migration/models/base-models/CodeLlama-7B-Instruct/` | |
| - **Size:** 26GB (52 files) | |
| - **Key Files:** | |
| - ✅ config.json | |
| - ✅ tokenizer.json, tokenizer_config.json, tokenizer.model | |
| - ✅ model-00001-of-00002.safetensors (9.3GB) | |
| - ✅ model-00002-of-00002.safetensors (3.3GB) | |
| - ✅ pytorch_model-*.bin files (also available) | |
| - **Download Time:** ~8 minutes (05:55 - 06:03 UTC) | |
| - **Status:** ✅ **READY FOR TRAINING** | |
| --- | |
| ## 🔧 Script Updates Status | |
| ### Inference Script (`inference_codellama.py`) | |
| - [ ] Code extraction function added | |
| - [ ] Temperature default changed to 0.3 | |
| - [ ] Code marker removal logic implemented | |
| - [ ] Tested with sample inference | |
| ### Training Script | |
| - ✅ No changes needed (model-agnostic) | |
| ### API Server | |
| - ✅ No changes needed (model-agnostic) | |
| --- | |
| ## 📈 Expected Outcomes | |
| | Metric | Current (Mistral) | Target (CodeLlama) | | |
| |--------|------------------|-------------------| | |
| | Code Generation Rate | 16.7% | 85-95% | | |
| | Average Match Score | 31.7% | 75-85% | | |
| | Conversational Output | Frequent | Rare/None | | |
| --- | |
| ## 🐛 Issues & Resolutions | |
| _Issues will be logged here as they occur_ | |
| --- | |
| ## 📚 References | |
| - Migration Plan: `/workspace/ftt/CODELLAMA_MIGRATION_PLAN.md` | |
| - Comparison Report: `/workspace/ftt/CLEAN_V2_TRAINING_COMPARISON_REPORT.md` | |
| --- | |
| ### 2025-11-25 06:14 UTC - Dataset Splitting & Validation Scripts Created | |
| - ✅ **Created:** Dataset splitting script (`scripts/dataset_split.py`) | |
| - ✅ **Created:** Dataset validation script (`scripts/validate_dataset.py`) | |
| - ✅ **Created:** Comprehensive guide (`DATASET_SPLIT_VALIDATION_GUIDE.md`) | |
| - **Details:** | |
| - Splitting happens BEFORE training (manual split recommended) | |
| - Script handles 75/10/15 split (train/val/test) | |
| - Validation checks: format, content, quality, duplicates | |
| - All CodeLlama-specific parameters documented | |
| ### 2025-11-25 06:15 UTC - Hyperparameter Analysis Complete | |
| - ✅ **Created:** Complete hyperparameter analysis (`HYPERPARAMETER_ANALYSIS.md`) | |
| - **Dataset Analysis:** | |
| - 94 samples, avg ~322 tokens per sample | |
| - All samples have code markers (100%) | |
| - Small dataset → needs regularization | |
| - **Optimized Parameters:** | |
| - LoRA Rank: 48 (balance for code patterns + small dataset) | |
| - Learning Rate: 2e-5 (stability) | |
| - Epochs: 5 (more training needed) | |
| - Max Length: 1536 (efficiency, sufficient for dataset) | |
| - Dropout: 0.15 (more regularization) | |
| - **Efficiency:** | |
| - Memory: ~6-7GB (fits easily in A100) | |
| - Training Time: ~8-10 minutes | |
| - Expected improvement: 75-85% match score | |
| ### 2025-11-25 06:41 UTC - Training Started with Optimized Hyperparameters | |
| - ✅ **Created:** Enhanced training script (`scripts/training/finetune_codellama.py`) | |
| - Checkpoint resume support (automatic detection) | |
| - Incremental fine-tuning (continue from existing adapter) | |
| - Fresh training option | |
| - Uses pre-split train/val datasets | |
| - ✅ **Created:** Training guide (`TRAINING_GUIDE.md`) | |
| - ✅ **Dataset Split:** 75/10/15 (train/val/test) - 70/9/15 samples | |
| - ✅ **Training Started:** CodeLlama fine-tuning with optimized hyperparameters | |
| - Base Model: CodeLlama-7B-Instruct | |
| - Output: `training-outputs/codellama-fifo-v1` | |
| - Hyperparameters: All optimized values from HYPERPARAMETER_ANALYSIS.md | |
| - Status: 🟢 **TRAINING IN PROGRESS** | |
| **Last Updated:** 2025-11-25 06:41 UTC | |
| **Current Status:** 🟢 **TRAINING IN PROGRESS** | |