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--- |
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language: |
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- ta |
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- en |
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license: gpl-3.0 |
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--- |
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# Tamil LLaMA 7B Instruct v0.1 |
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Welcome to the inaugural release of the Tamil LLaMA 7B instruct model – an important step in advancing LLMs for the Tamil language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your specific NLP tasks. |
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To dive deep into the development and capabilities of this model, please read the [research paper](https://arxiv.org/abs/) and the [introductory blog post](https://intro.com) that outlines our journey and the model's potential impact. |
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## Model description |
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The Tamil LLaMA models have been enhanced and tailored specifically with an extensive Tamil vocabulary of 16,000 tokens, building upon the foundation set by the original LLaMA-2. |
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- **Model type:** A 7B parameter GPT-like model fine-tuned on [Tamil-Alpaca-Orca](https://huggingface.co/datasets/abhinand/tamil-alpaca-orca) - a mix of Tamil-translated [Stanford-Alpaca](https://huggingface.co/datasets/tatsu-lab/alpaca) and a subset of [OpenOrca](https://huggingface.co/datasets/Open-Orca/OpenOrca) datasets. |
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- **Language(s):** Tamil and English |
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- **License:** GNU General Public License v3.0 |
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- **Finetuned from model:** [abhinand/tamil-llama-7b-base-v0.1](https://huggingface.co/abhinand/tamil-llama-7b-base-v0.1) |
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- **Training Precision:** `float16` |
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## Prompting Format |
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**Prompt Template Without Input** |
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``` |
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{system_prompt} |
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### Instruction: |
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{instruction or query} |
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### Response: |
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{response} |
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``` |
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**Prompt Template With Input** |
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``` |
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{system_prompt} |
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### Instruction: |
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{instruction or query} |
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### Input: |
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{input} |
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### Response: |
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{response} |
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``` |
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## Related Models |
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*Further models and their descriptions will be updated here...* |
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## Usage Note |
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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. |
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## Meet the Developers |
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Get to know the creators behind this innovative model and follow their contributions to the field: |
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- [Abhinand Balachandran](https://www.linkedin.com/in/abhinand-05/) |
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## Citation |
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*Citation info will be added here once the paper is published* |
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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. |
