Bangla LLaMA 8B Bangla2B Base v0.1 [pre-trained]

Welcome to the inaugural release of the Bangla LLaMA 8B Bangla2B 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/BanglaLLama-8b-Bangla2b-instruct-v0.1 more suitable for your needs.

Model description

  • Model type: A 8B parameter model for Causal LM pre-trained on centralized Bangla2B dataset.
  • Language(s): Bangla and English
  • License: GNU General Public License v3.0
  • Source Model: meta-llama/Meta-Llama-3-8B
  • Training Precision: float16
  • Code: GitHub

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Model Type Data Base Model # Params Download Links
Bangla LLaMA 7B Base Base model 12GB LLaMA 7B 7B HF Hub
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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
Bangla LLaMA 3 8B Base Base model 12.4M LLaMA 3 8b 8B HF Hub
Bangla LLaMA 3 8B Instruct Instruction following model 172k instructions Bangla LLaMA 3 8B Base 8B HF Hub
Bangla LLaMA 3.1 8B Base Base model 12.4M LLaMA 3.1 8b 8B HF Hub
Bangla LLaMA 3.1 8B Instruct Instruction following model 172k instructions Bangla LLaMA 3.1 8B Base 8b HF Hub
Bangla LLaMA 3.2 1B Base Base model 12.4M LLaMA 3.2 1b 1b HF Hub
Bangla LLaMA 3.2 1B Instruct Instruction following model 172k instructions Bangla LLaMA 3.2 1B Base 1b HF Hub
Bangla LLaMA 3.2 3B Instruct Instruction following model 172k instructions Bangla LLaMA 3.2 3B Base 3B HF Hub

Usage 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.

Meet the Developers

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

Citation

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.

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