Model Card for Model ID

This is a model fine-tuned using LoRA on a Python code instruction dataset to generate better solutions to user prompts.

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

Uses

This model can be directly used for various programming-related tasks, including but not limited to:

Code Generation: Automatically generating Python code snippets based on natural language descriptions.
Code Completion: Assisting developers by completing partially written code.
Debugging Assistance: Suggesting fixes or improvements to existing code.
Educational Tools: Helping learners understand programming concepts by providing example code.
Automated Documentation: Generating documentation or comments for codebases.

Users should refrain from using yoni-log/llama-8b-python for applications that may cause harm or ethical concerns, including but not limited to:

Generating Malicious Code: Creating code intended for unauthorized access, data breaches, or other malicious activities.
Facilitating Plagiarism: Using the model to generate code for academic or professional submissions without proper attribution.
Bypassing Security Measures: Assisting in creating code that circumvents security protocols or protections.

Limitations:

Quantization Impact: The 4-bit quantization may lead to reduced model accuracy compared to full-precision counterparts.
Context Length: Limited by the model's maximum token capacity, potentially affecting performance on very long code snippets or extensive instructions.
Domain Specificity: May underperform in highly specialized or technical domains without additional fine-tuning.
Data Biases: Reflects biases inherent in the training data, which may affect the fairness and neutrality of outputs.