Project-Carbon/dcc-help-gemma-4-31b
Project-Carbon/dcc-help-gemma-4-31b is a 31 billion parameter Gemma-4 model developed by Juno AI, fine-tuned using LoRA via Unsloth and Huggingface's TRL library. This model is specifically designed as a pedagogical C programming assistant, excelling at explaining compiler and runtime errors to students without providing direct solutions. It aims to guide students toward understanding and debugging their own code, making it ideal for educational environments.
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Overview
Project-Carbon/dcc-help-gemma-4-31b is a 31 billion parameter Gemma-4 model, developed by Juno AI. It is a LoRA fine-tune of unsloth/gemma-4-31b-it, trained on a specialized dataset combining dcc-help data and EdStem Forum data. The primary purpose of this model is to power the dcc-help assistant, a terminal-based tool for C programming students at UNSW CSE.
Key Capabilities
- Pedagogical Error Explanation: Provides AI-generated explanations for C compiler and runtime errors.
- Guidance-Oriented Responses: Focuses on guiding students to understand errors and debug their code, rather than offering direct fixes.
- Specialized Training: Fine-tuned on a specific course/forum corpus, making its responses relevant to that educational context.
Intended Use
This model is specifically intended for use within the dcc-help assistant for UNSW CSE C-programming courses. It takes a student's C code and associated compiler/runtime error to produce explanatory, guidance-oriented responses. The model's "no direct answer" behavior is reliable in single-turn terminal interactions, ensuring students are prompted to learn independently.
Limitations
- Trained on a specific corpus, so responses reflect the conventions and potential biases of that data.
- Like all LLMs, it can produce incorrect or hallucinated explanations; student understanding should not solely rely on its output.