Instructions to use proadhikary/Menstrual-LLaMA-8B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use proadhikary/Menstrual-LLaMA-8B with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("meta-llama/Meta-Llama-3-8B-Instruct") model = PeftModel.from_pretrained(base_model, "proadhikary/Menstrual-LLaMA-8B") - Notebooks
- Google Colab
- Kaggle
Access Request for MENST Dataset β Menstrual Health App Integration
Hi,
I came across your Menstrual-LLaMA-8B model on HuggingFace and found it really impressive. I'm developing an Android app for menstrual health tracking and education, and I'm looking to integrate a small on-device language model to answer general questions about the menstrual cycle.
I noticed the MENST dataset was mentioned in your model card but is no longer publicly available. I wanted to reach out and ask:
- Is the MENST dataset available for research/non-commercial use, or are there plans to release it?
- Would it be possible to get access to it for fine-tuning a smaller model (Gemma 4B) for on-device use?
To give some context: the model would run fully locally on the user's device β no data is sent to any server. The goal is purely educational, helping users understand their cycle and typical symptoms, with clear disclaimers that it does not replace medical advice.
I'd also be happy to discuss any collaboration or attribution that would be appropriate.
Thanks for your work on this β it's exactly the kind of domain-specific resource that's hard to find.
Best regards,
Michael