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abhinand/gemma-2b-tamil
gemma-2b-tamil is a text generation model from abhinand. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as other.
This is a Tamil foundational model continually pretrained from Google Gemma 2B. This is an experiment to see if Gemma can be adapted for Tamil without expanding vocabulary. While the responses may be rusty at times, i…
Downloads · 30 days
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From the Hugging Face model README
This is a Tamil foundational model continually pretrained from Google Gemma 2B. This is an experiment to see if Gemma can be adapted for Tamil without expanding vocabulary. While the responses may be rusty at times, it shows a lot of promise for a 2B parameter model.
Please Note: This model, labeled as a FOUNDATIONAL Language Model (LLM), is designed primarily for Causal Language Modeling (LM) purposes. In other words, if you are looking for an instruction following model in Tamil, you may find abhinand/gemma-2b-it-tamil-v0.1-alpha more suitable for your needs.
Procedure:
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.
bfloat16If you appreciate this work and would like to support its continued development, consider buying me a coffee. Your support is invaluable and greatly appreciated.
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.
Get to know the creators behind this innovative model and follow their contributions to the field:
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.
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 45.13 |
| AI2 Reasoning Challenge (25-Shot) | 47.44 |
| HellaSwag (10-Shot) | 71.30 |
| MMLU (5-Shot) | 38.21 |
| TruthfulQA (0-shot) | 34.93 |
| Winogrande (5-shot) | 65.98 |
| GSM8k (5-shot) | 12.89 |