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. The model was trained using parameter-efficient fine-tuning (LoRA), allowing adaptation of the base model while keeping computational requirements low. This demonstrates that the fine-tuned model performs better on Python coding tasks than the original base model. — Python Code Generation — Algorithm Design — Data Structures — Debugging — Code Refactoring — Coding Interview Questions — Competitive Programming — Function Completion The dataset contains instruction-response pairs focused on Python programming tasks including: — Function generation — Data manipulation — Algorithms — Debugging — Problem solving — Qwen Team for Qwen2.5-Coder — Unsloth for efficient fine-tuning — Hugging Face — OpenAI HumanEval Benchmark Github : https://git
Модальности:
Генерация текста
Области применения:
Генерация кода Диалог / чат
Языки программирования:
Python
Задача: Генерация текста
Автор: varuneshv
Теги: qwen2, code-generation, python, qwen, unsloth, coding-assistant, conversational, en
Лайков: 3 | Загрузок: 17
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
