sargurun16/VCoder-GGUF

VCoder

VCoder is a Python-focused coding assistant fine-tuned from Qwen2.5-Coder-3B-Instruct using LoRA and Unsloth.

The model was trained on 15,000 Python instruction-response examples from the Python Code Instructions 15K dataset and optimized for Python code generation, problem solving, debugging, and algorithm implementation.

Model Details

Training Pipeline

Training was performed incrementally:

The model was trained using parameter-efficient fine-tuning (LoRA), allowing adaptation of the base model while keeping computational requirements low.

Benchmark Results

HumanEval Comparison

The model was evaluated against the original Qwen2.5-Coder-3B-Instruct on HumanEval coding tasks.

Improvement

+7.0% Pass@1 improvement

This demonstrates that the fine-tuned model performs better on Python coding tasks than the original base model.

Example Usage

Python

prompt = """
### Instruction:
Write a Python function to reverse a string.

### Input:

### Response:
"""

Example Output

def reverse_string(text):
    return text[::-1]

Supported Tasks

• —Python Code Generation
• —Algorithm Design
• —Data Structures
• —Debugging
• —Code Refactoring
• —Coding Interview Questions
• —Competitive Programming
• —Function Completion

GGUF Usage

Compatible with:

• —Ollama
• —LM Studio
• —llama.cpp

Training Dataset

Dataset used:

Python Code Instructions 15K

The dataset contains instruction-response pairs focused on Python programming tasks including:

• —Function generation
• —Data manipulation
• —Algorithms
• —Debugging
• —Problem solving

Limitations

• —Primarily optimized for Python.
• —Benchmark performed on a subset of HumanEval tasks.
• —May generate incorrect code for highly specialized domains.
• —Should not be used as the sole source of production-critical code.

Acknowledgements

• —Qwen Team for Qwen2.5-Coder
• —Unsloth for efficient fine-tuning
• —Hugging Face
• —OpenAI HumanEval Benchmark

Citation

@misc{vcoder2026,
  title={VCoder: Python Code Generation Model},
  author={Varunesh V, Prawin R K, Sarguru N},
  year={2026},
  base_model={Qwen2.5-Coder-3B-Instruct}
}

Github : https://github.com/sargurun16 Mail : sarguru1609@gmail.com