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MalayaLLM-Paligemma-VQA-3B-4bitQuant
VishnuPJ/MalayaLLM-Paligemma-VQA-3B-4bitQuant
MalayaLLM-Paligemma-VQA-3B-4bitQuant is a machine learning model from VishnuPJ. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
<img src="https://github.com/user-attachments/assets/8e8937a7-fd47-482c-acaf-48efc3c04597" alt="Baby MalayaLLM" width="300" height="auto"
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.safetensors2.4 GB · 99%
Parameter types
How the weights are stored.
U82.4B · 81%
Model card
From the Hugging Face model README
PaliGemma-3B-MalayaLLM
<img src="https://github.com/user-attachments/assets/8e8937a7-fd47-482c-acaf-48efc3c04597" alt="Baby MalayaLLM" width="300" height="auto">Introducing the Developer:
Discover the mind behind this model and stay updated on their contributions to the field https://www.linkedin.com/in/vishnu-prasad-j/
Model description
This is a PaliGemma-3B based model for Malayalam captioning and Visual Question Answering.
- Model type: A 3B PaliGemma-2 finetuned model on Malayalam captions and queries.
- Language(s): Malayalam and English
- Datasets:
- Caption Model-Full Precisoin: VishnuPJ/MalayaLLM-Paligemma-Caption-3B-Full-Precision
- Caption 4bit Quant: VishnuPJ/MalayaLLM-Paligemma-Caption-3B-4bitQuant
- VQA Model-Full Precison: VishnuPJ/MalayaLLM-Paligemma-VQA-3B-Full-Precision
- VQA 4bit Quant: VishnuPJ/MalayaLLM-Paligemma-VQA-3B-4bitQuant
- VQA LORA Adapters: VishnuPJ/MalayaLLM-Paligemma-VQA-3B-Adapters
- Training Precision:
float16,4bit
Dataset Creation
I have used indictrans2 for translating English datasets to Malayalam.
🌟Happy coding💻🌟
- Type
- paligemma
- License
- mit
- Languages
- ml
- Created
- Aug 23, 2024
- Updated
- Aug 30, 2024