AxionLab-official/DogeAI-v1.5-Coder

🐶 DogeAI-v1.5-Coder

DogeAI-v1.5-Coder is a small, experimental code-focused language model fine-tuned from Gemma 3 (270M parameters).

This model was created as a learning and experimentation project, focusing on code generation and completion with limited resources. It is not intended to compete with large-scale coding models, but rather to explore how far a compact model can go when domain-focused.

🔍 Model Details

• —Base model: Gemma 3 – 270M
• —Fine-tuning type: Supervised fine-tuning (SFT)
• —Primary domain: Programming / code-related text
• —Languages: Mixed (depends on dataset; mainly scripting-style code)
• —Parameters: ~270 million
• —Context length: Limited (inherits base model constraints)

🎯 Intended Use

DogeAI-v1.5-Coder is best suited for:

• —Simple code completion
• —Small scripting examples
• —Educational purposes (learning how fine-tuning works)
• —Research on small language models
• —Benchmarking and experimentation

It performs best when:

• —Prompts are short and explicit
• —The task is narrow and well-defined
• —Expectations are aligned with its size

⚠️ Limitations

This model has clear and expected limitations:

• —Weak long-range reasoning
• —Inconsistent performance on complex programming tasks
• —Limited generalization outside the training distribution
• —Not reliable for production or critical systems

These limitations are a direct consequence of its small scale and experimental nature.

🧪 Training Notes

• —The model was fine-tuned on a custom dataset focused on code-related text.
• —No reinforcement learning or advanced alignment techniques were used.
• —The goal was experimentation and learning, not optimization for benchmarks.

📚 Why This Model Exists

DogeAI-v1.5-Coder exists as a learning artifact.

It represents:

• —Early experimentation with fine-tuning
• —Exploration of low-parameter models
• —A step in understanding data quality, formatting, and model behavior

Small models are valuable tools for understanding how language models actually work.

🚫 What This Model Is NOT

• —❌ A replacement for large coding assistants
• —❌ A reasoning-focused model
• —❌ Production-ready
• —❌ Instruction-following at a high level

📜 License

This model follows the same license as its base model (Gemma). Please ensure compliance with the original license when using or redistributing.

🙌 Acknowledgements

• —Google Gemma team for the base model
• —The open-source ML community

🧠 Final Note

DogeAI-v1.5-Coder is small, imperfect, and honest. Its value lies in experimentation, not performance.

Sometimes, understanding the limits teaches more than chasing scale.

MADE BY AXIONLAB