Gemma 2b It Tamil V0.1 Alpha

🚀 Gemma 2B Tamil v0.1 Alpha [Experimental Release]

This is a Tamil instruction finetuned version of Google's Gemma 2B model. It aims to adapt Gemma for Tamil without expanding vocabulary, showing great promise despite some rusty responses.

🚀 Quick Start

This model is a Tamil instruction finetuned version of Google's Gemma 2B. The process involves two main steps:

1. Continuously pretrain the Gemma base model on all available Tamil Wikipedia data for 3 epochs.
2. Finetune the updated model on a mix of English and Tamil alpaca datasets for 5 epochs.

⚠️ Important Note

This project is currently under development (FOR TAMIL). The initial pretraining phase may not have been extensive enough, which suggests that the model's performance could improve by extending the pretraining on a larger dataset, such as CulturaX.

✨ Features

• Bilingual Support: Supports both English and Tamil, making it suitable for a wider range of users.
• Good Performance: Outperforms Google's Gemma 2B base and instruct models on all benchmarks in Nous evaluation suite, and even outperforms mlabonne/Gemmalpaca-2B in some cases.

🏆 Benchmarks

This model outperforms Google's Gemma 2B base and instruct models on all benchmarks in Nous evaluation suite. It also surprisingly outperforms mlabonne/Gemmalpaca-2B (the best performing 2B model in benchmarks as of Feb 25, 2024) despite being a model aimed at language adaptation.

📚 Documentation

Model Description

Prompting Format [Alpaca]

Basic Usage

Prompt Template Without Input

{system_prompt}

### Instruction:
{instruction or query}

### Response:
{response}

Advanced Usage

Prompt Template With Input

{system_prompt}

### Instruction:
{instruction or query}

### Input:
{input}

### Response:
{response}

Usage Note

⚠️ Important Note

It's important to note that the models have not undergone detoxification. Therefore, while they possess impressive linguistic capabilities, there is a possibility for them to generate content that could be deemed harmful or offensive. We urge users to exercise discretion and supervise the model's outputs closely, especially in public or sensitive applications.

🔧 Technical Details

The model was developed through the following steps:

1. Continual pretraining of the Gemma base model on all available Tamil Wikipedia data for 3 epochs.
2. Finetuning the updated model on a mix of English and Tamil alpaca datasets for 5 epochs.

📄 License

This model is released under the Google Gemma Terms of Use.

Support my work

If you appreciate this work and would like to support its continued development, consider buying me a coffee. Your support is invaluable and greatly appreciated.

Meet the Developers

Get to know the creators behind this innovative model and follow their contributions to the field:

• Abhinand Balachandran

We hope this model serves as a valuable tool in your NLP toolkit and look forward to seeing the advancements it will enable in the understanding and generation of the Tamil language.

Open LLM Leaderboard Evaluation Results

Detailed results can be found here