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FORMAT_ISSUE_ANALYSIS.md

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+# 🔍 Format Issue Analysis
+
+## ❌ Problem Identified
+
+**Issue:** Model generating unrelated text (Kotlin code instead of Verilog)
+
+**Root Cause:** Format mismatch between training and CodeLlama-Instruct expectations
+
+---
+
+## 📊 Format Comparison
+
+### CodeLlama-Instruct Expected Format:
+```
+<s>[INST] <<SYS>>
+System message
+<</SYS>>
+
+User message [/INST] Response </s>
+```
+
+### Current Training Format:
+```
+instruction + EOS + response + EOS
+```
+
+### During Training (Current):
+```python
+text = f"{instruction}{tokenizer.eos_token}{response}{tokenizer.eos_token}"
+# Result: "System prompt + task</s>Code here</s>"
+```
+
+### During Inference (Current):
+```python
+prompt = f"{instruction}{tokenizer.eos_token}"
+# Result: "System prompt + task</s>"
+```
+
+---
+
+## 🔧 Solution Options
+
+### Option 1: Use CodeLlama Chat Template (RECOMMENDED)
+- Update training script to use CodeLlama's chat template
+- Reformat dataset to use chat template format
+- Retrain with proper format
+- **Pros:** Proper format, better results
+- **Cons:** Need to retrain
+
+### Option 2: Keep Simple Format (QUICK FIX)
+- Use simple format for both training and inference
+- Ensure inference matches training exactly
+- **Pros:** No retraining needed
+- **Cons:** Not using CodeLlama's optimized format
+
+---
+
+## ✅ Recommended: Use CodeLlama Chat Template
+
+CodeLlama-Instruct is designed to work with the chat template format. Using it will give better results.
+