Hugging Face Overview
GetSoloTech/Gemma3-Code-Reasoning-4B: Code Reasoning Specialist
This model is a LoRA-finetuned version of Google's Gemma-3-4B-IT, developed by GetSoloTech, with 4.3 billion parameters and a 4096-token context length. Its primary optimization is for competitive programming and complex code reasoning, achieved through training on the specialized Code-Reasoning dataset. The training focused on high-quality competitive programming problems from sources like TACO, APPS, CodeContests, and Codeforces, ensuring solutions with high test case pass rates.
Key Capabilities
- Enhanced Code Reasoning: Specifically trained to understand and solve competitive programming problems.
- High-Quality Solutions: Generates accurate and efficient code, optimized for structured output.
- Thinking Capabilities: Inherits and extends the advanced reasoning from its base model.
- Efficient Training: Utilizes LoRA adapters for effective parameter updates.
Good For
- Competitive Programming: Excels at understanding problem constraints and generating correct solutions.
- Code Generation: Produces more accurate and efficient code for complex problems.
- Reasoning Quality: Provides enhanced step-by-step reasoning for intricate programming challenges.
- Solution Completeness: Delivers comprehensive solutions, including proper handling of edge cases.