Project Overview: Hybrid Model Integration

This project focuses on building a hybrid language model by combining the strengths of two components:

• The Qwen3 base model, which is optimized for running on consumer-grade hardware, and
  
• The parameters (PARAMETERS) and formatting logic (TEMPLATE) of Qwen3-Coder, designed specifically for code-centric use cases.

Additionally, a custom SYSTEM prompt is layered in to influence the tone, formatting, and style of interactions — without modifying the model weights or training data.

• “latest” tag is the 14b model
• “8b” tag is the 8b model

Key Components

1. Qwen3 Base Model

• Optimized for efficient local deployment.
• Performs well on consumer-grade GPUs.
• Modular and compatible with adapter-based fine-tuning workflows.
• Available in multiple quantized formats for resource-aware setups.

2. Qwen3-Coder Parameters

• Builds upon Qwen3 with instruction tuning focused on software development tasks.
• Enhanced to handle tasks such as:
  • Code generation
  • Bug fixing
  • Language-to-code translation
  • Contextual code reasoning
• Parameters are fine-tuned to prioritize correctness and clarity, especially in ambiguous or underspecified prompts.

3. Custom SYSTEM Prompt

• A static prompt that is prepended to each session to shape the model’s behavior without changing the model weights.
• It handles:
  • Adjusting tone (e.g., concise, verbose, formal)
  • Influencing structure (e.g., Markdown usage, headings, bullet points)
  • Enhancing user interaction style (e.g., reasoning before answering)
  • Prompt formatting that excels in:
    • Code generation
    • Bug fixing
    • Inline explanations
    • Multi-language support

4. MODELFILE for Ollama

• The integration is driven by a MODELFILE compatible with Ollama, a local LLM runtime.
• Licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0):
  • Allows redistribution and modification,
  • Requires attribution,
  • Mandates that derivative works share the same license.
• The MODELFILE includes:
  • Base model reference and adapter merges,
  • Role and message formatting for system/user/assistant prompts (the TEMPLATE),
  • Runtime configurations such the base model (Qwen3) and the SYSTEM prompt.
• Note: The MODELFILE defines runtime behavior and formatting but does not embed personal workflows or preferences.

Final Goal

The aim is to deliver a high-performance, locally deployable code assistant that blends:

• The efficiency and portability of Qwen3,
• The domain specialization of Qwen3-Coder,
• A flexible and user-controllable SYSTEM prompt interface.

This hybrid model offers a practical solution for developers who want local execution, prompt-level control, and open licensing — without compromising on programming-specific capabilities.