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BanglaLLM/BanglaLLama-3-8b-BnWiki-Base
BanglaLLama-3-8b-BnWiki-Base is a text generation model from BanglaLLM. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama3.
Welcome to the inaugural release of the Bangla LLaMA-3 8B base model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tunin…
Downloads · 30 days
28
6% of all-time downloads
All-time downloads
461
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8B
32.1 GB on disk
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1
Public
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.safetensors32.1 GB · 100%
How the weights are stored.
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From the Hugging Face model README
Welcome to the inaugural release of the Bangla LLaMA-3 8B base model – an important step in advancing LLMs for the Bangla language. This model is ready for immediate inference and is also primed for further fine-tuning to cater to your specific NLP tasks.
Please Note: This model, labeled as a foundational Bangla 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 Bangla, you may find BanglaLLM/Bangla-llama-7b-instruct-v0.1 more suitable for your needs.
The Bangla LLaMA models have been enhanced and tailored specifically with an extensive Bangla vocabulary of 16,000 tokens, building upon the foundation set by the original LLaMA-2.
float16| Model | Type | Data | Base Model | # Params | Download Links |
|---|---|---|---|---|---|
| Bangla LLaMA 8B Base | Base model | 173K rows | LLaMA-3 8B | 8B | HF Hub |
| Bangla LLaMA 7B Base | Base model | 12GB | LLaMA-2 7B | 7B | HF Hub |
| Bangla LLaMA 13B Base | Base model | 4GB | LLaMA-2 13B | 13B | HF Hub |
| Bangla LLaMA 7B Instruct | Instruction following model | 145k instructions | Bangla LLaMA 7B Base | 7B | HF Hub |
| Bangla LLaMA 13B Instruct | Instruction following model | 145k instructions | Bangla LLaMA 13B Base | 13B | HF Hub |
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:
If you use this model or the Bangla-Llama dataset in your research, please cite:
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 Bangla language.