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README.md

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+---
+license: other
+license_name: deepseek
+base_model: deepseek-ai/deepseek-coder-6.7b-instruct
+tags:
+  - delphi
+  - objectpascal
+  - code-assistant
+  - system-prompt
+language:
+  - en
+---
+
+# deepseek-coder-6.7b-instruct-de1
+
+**A Delphi/ObjectPascal coding assistant built on deepseek-coder-6.7b-instruct.**
+
+13-line FATPIE system prompt, 4096 context. Proven 127/136 on smoketest.
+
+## What is this?
+
+This is **not a fine-tuned model**. It uses the unmodified deepseek-coder-6.7b-instruct
+weights with a carefully crafted system prompt that activates the model's existing
+knowledge of Delphi/ObjectPascal conventions.
+
+Six QLoRA fine-tuning attempts on this base model either had zero effect or caused
+regression. The system prompt alone produces better results than any fine-tuned variant.
+
+## How to use
+
+### With Ollama
+
+```bash
+# Download the Modelfile
+# Then create the model:
+ollama create deepseek-coder:6.7b-instruct-de1 -f Modelfile.de1
+
+# Run it:
+ollama run deepseek-coder:6.7b-instruct-de1 "Write a Delphi function that reverses a string"
+```
+
+### What the system prompt teaches
+
+- **Memory management**: No ARC or GC on Windows. Free every object you create.
+- **FATPIE naming**: T for types, F for fields, A for parameters, P for pointers, I for interfaces, E for exceptions
+- **Code style**: Use Result not FunctionName, begin not BEGIN, try/finally for cleanup
+- **Platform**: Delphi on Windows, MSBuild for builds, TDateTime for dates
+
+## Model details
+
+- **Base model**: [deepseek-ai/deepseek-coder-6.7b-instruct](https://huggingface.co/deepseek-ai/deepseek-coder-6.7b-instruct)
+- **Weights**: Unmodified — no LoRA, no fine-tuning
+- **Method**: System prompt engineering only
+- **Author**: Warren Postma (warren.postma@gmail.com)
+- **Project**: [WARP — local AI agent for Delphi/ObjectPascal](https://github.com/wpostma)
+
+## Key finding
+
+> A well-crafted system prompt on an unmodified 6.7B model beats QLoRA fine-tuning
+> with 500-1000 curated instruction pairs. The model already knows Delphi — it just
+> needs the right context to access that knowledge.