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Tinyllama Python Gguf
This is the quantized GGUF model file of rahuldshetty/tinyllama-python, fine-tuned based on unsloth/tinyllama-bnb-4bit, specializing in Python code generation tasks.
Downloads 32
Release Time : 1/19/2024
Model Overview
This model is a lightweight language model based on the TinyLlama architecture, specifically fine-tuned for Python code generation tasks, suitable for code assistance and educational scenarios.
Model Features
Lightweight quantization
Provides GGUF quantized version with a model size of only 432MB, suitable for deployment in resource-limited environments.
Python code specialization
Fine-tuned using an 18k Python code instruction dataset, excels in generating Python code.
Instruction-response format
Adopts a clear instruction-response interaction format, making it easy to integrate into dialogue systems.
Model Capabilities
Python code generation
Code completion
Programming problem solving
Use Cases
Programming education
Code example generation
Generates Python code examples based on natural language instructions
Can generate function implementations, algorithm examples, etc.
Development assistance
Code snippet generation
Helps developers quickly generate commonly used code snippets
Improves development efficiency
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