# Efficient with small parameters

This model is a text generation model fine-tuned based on Qwen/Qwen2.5-1.5B-Instruct. It is trained using TRL and provides strong support for text generation tasks.

Kyara is a language model fine-tuning project enhanced by knowledge retrieval, focusing on improving the model's performance on languages with fewer resources such as Traditional Chinese.

This is a 110-million-parameter Llama 2 architecture model trained on the TinyStories dataset, suitable for lightweight text generation tasks.

This is a Python code generation model with 164 million parameters, based on the StarCoder architecture, specifically optimized for Python code generation tasks.

A Python code auto-completion model fine-tuned on GPT-Neo-125M, specializing in method completion tasks