πΆ 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.
π Model Details
- Base model: Gemma 3 β 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)
π― 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
β οΈ 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.
π§ͺ 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.
π 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.
π« What This Model Is NOT
- β A replacement for large coding assistants
- β A reasoning-focused model
- β Production-ready
- β Instruction-following at a high level
π License
This model follows the same license as its base model (Gemma).
Please ensure compliance with the original license when using or redistributing.
π Acknowledgements
- Google Gemma team for the base model
- The open-source ML community
π§ 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
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