đ Bangla LLaMA 7B Instruct v0.1
The inaugural release of the Bangla LLaMA 7B instruct model, a significant step in advancing LLMs for the Bangla language. It's ready for immediate inference and further fine - tuning for specific NLP tasks.
đ Quick Start
The Bangla LLaMA 7B Instruct v0.1 model is now available. It can be used for immediate inference and is also suitable for further fine - tuning to meet your specific NLP requirements.
⨠Features
- Enhanced with an extensive Bangla vocabulary of 16,000 tokens, based on the original LLaMA - 2.
- Fine - tuned on a mix of Bangla - translated datasets, enabling better performance in Bangla language tasks.
đ Documentation
Model description
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.
| Property |
Details |
| Model Type |
A 7B parameter GPT - like model fine - tuned on [Bangla - Alpaca - Orca](https://huggingface.co/datasets/BanglaLLM/Bangla - alpaca - orca) - a mix of Bangla - translated [Stanford - Alpaca](https://huggingface.co/datasets/tatsu - lab/alpaca) and a subset of [OpenOrca](https://huggingface.co/datasets/Open - Orca/OpenOrca) datasets. |
| Language(s) |
Bangla and English |
| License |
GNU General Public License v3.0 |
| Finetuned from model |
[BanglaLLM/Bangla - llama - 7b - base - v0.1](https://huggingface.co/BanglaLLM/Bangla - llama - 7b - base - v0.1) |
| Training Precision |
float16 |
| Code |
[GitHub](https://github.com/BanglaLLM/Bangla - llama) |
Prompting Format
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}
Related Models
| Model |
Type |
Data |
Base Model |
# Params |
Download Links |
| Bangla LLaMA 7B Base |
Base model |
12GB |
LLaMA 7B |
7B |
[HF Hub](https://huggingface.co/BanglaLLM/Bangla - llama - 7b - base - v0.1) |
| Bangla LLaMA 13B Base |
Base model |
4GB |
LLaMA 13B |
13B |
[HF Hub](https://huggingface.co/BanglaLLM/Bangla - llama - 13b - base - v0.1) |
| Bangla LLaMA 7B Instruct |
Instruction following model |
145k instructions |
Bangla LLaMA 7B Base |
7B |
[HF Hub](https://huggingface.co/BanglaLLM/Bangla - llama - 7b - instruct - v0.1) |
| Bangla LLaMA 13B Instruct |
Instruction following model |
145k instructions |
Bangla LLaMA 13B Base |
13B |
[HF Hub](BanglaLLM/Bangla - llama - 13b - instruct - v0.1) |
đ License
This model is released under the GNU General Public License v3.0.
â ī¸ 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.
đ¨âđģ Meet the Developers
Get to know the creators behind this innovative model and follow their contributions to the field:
- [Abdullah Khan Zehady](https://www.linkedin.com/in/abdullah - khan - zehady - 915ba024/)
đ 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.
%20--%3e%3cdefs%3e%3cstyle%3e%20.st0%20{%20fill:%20%23061b40;%20}%20.st1%20{%20fill:%20%23306af1;%20}%20.st2%20{%20fill:%20%235ce5cf;%20}%20%3c/style%3e%3c/defs%3e%3cg%3e%3cpath%20class='st0'%20d='M55,10.5h9v3h-9v9h12V7.5h-12v3ZM64,19.5h-6v-3h6v3Z'/%3e%3cpolygon%20class='st0'%20points='69%2016.5%2078%2016.5%2078%2019.5%2069%2019.5%2069%2022.5%2081%2022.5%2081%2013.5%2072%2013.5%2072%2010.5%2081%2010.5%2081%207.5%2069%207.5%2069%2016.5'/%3e%3cpolygon%20class='st0'%20points='95%2010.5%2095%207.5%2083%207.5%2083%2022.5%2095%2022.5%2095%2019.5%2086%2019.5%2086%2016.5%2095%2016.5%2095%2013.5%2086%2013.5%2086%2010.5%2095%2010.5'/%3e%3cpath%20class='st0'%20d='M40,1.5v21h11.6l1.4-1.4v-7.6h0c0,0-1.4-1.5-1.4-1.5l1.4-1.4V2.9l-1.4-1.4h-11.6ZM50,19.5h-7v-6h7v6ZM50,10.5h-7v-6h7v6Z'/%3e%3c/g%3e%3cpath%20class='st1'%20d='M23.1,24L14.7,4.8l-4.9,11.2h3.8l-1.8,4H3.3L12.1,0H2C.9,0,0,.9,0,2v20c0,1.1.9,2,2,2h21.1Z'/%3e%3cpath%20class='st2'%20d='M34,0h-16.8l10.6,24h6.2c1.1,0,2-.9,2-2V2C36,.9,35.1,0,34,0ZM32.5,20h-4V4h4v16Z'/%3e%3c/svg%3e)
Transformers Supports Multiple Languages#Bengali Instruction Model#Multilingual Mixed Training#Low-Resource Optimization