infinitealpha77/rivet-qwen2.5-coder-7b-lora

Qwen2.5-Coder-7B-Instruct Finetuned Model

📌 Model Details

• Developed by: infinitealpha77
• Base Model: unsloth/Qwen2.5-Coder-7B-Instruct-bnb-4bit
• Model Type: Causal Language Model (Code Generation & Instruction Following)
• License: Apache 2.0
• Language: English
• Finetuning Framework: Unsloth + TRL
• Quantization: 4-bit (bitsandbytes)

🚀 Model Description

This model is a fine-tuned version of the Qwen2.5-Coder-7B-Instruct base model, optimized for enhanced code generation, understanding, and instruction-following capabilities. By leveraging Unsloth's highly optimized training pipeline, this model was trained up to 2x faster with significantly reduced memory overhead, while maintaining or improving upon the base model's performance.

Intended Use Cases

• 💻 Code generation and completion across multiple programming languages.
• 🛠️ Debugging and explaining complex code snippets.
• 🤖 General-purpose instruction following and conversational AI tasks.
• 📝 Integration into local or cloud-based coding assistants (e.g., via Text Generation Inference or vLLM).

Limitations & Bias

• As with all language models, this model may occasionally generate incorrect, nonsensical, or biased outputs.
• Always review and test generated code before deploying it to production environments.
• The model's performance is bounded by the quality and scope of its fine-tuning dataset.

⚡ How to Use

1. Using Hugging Face transformers & unsloth

First, install the required dependencies:

pip install unsloth transformers bitsandbytes accelerate