Instructions to use MeWan2808/gemma-isckon-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Local Apps
- Unsloth Studio new
How to use MeWan2808/gemma-isckon-1b with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MeWan2808/gemma-isckon-1b to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for MeWan2808/gemma-isckon-1b to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for MeWan2808/gemma-isckon-1b to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="MeWan2808/gemma-isckon-1b", max_seq_length=2048, )
ποΈπΏ Gemma-3-1B β Spiritual ISKCON Q&A Assistant
A lightweight, respectful, and spiritually-aligned chatbot trained to preserve and share Guru wisdom.
π Project Purpose
To enhance spiritual accessibility and preserve Guru teachings, this service-learning project aims to:
β¨ Develop an intelligent chatbot trained on ISKCON Q&A audio transcripts using state-of-the-art NLP
β¨ Transcribe, preprocess, and organize religious Q&A content from Chaitanya Guru into a RAG-optimized knowledge base
β¨ Provide accurate, context-specific responses to questions about Hinduism, philosophy, and devotional life
β¨ Support devotees and learners globally by disseminating authentic wisdom through a digital medium
This model is text-to-text fine-tuned on our curated and ethically sourced Q&A dataset.
β¨ Features
β
Responses inspired by Vaishnava philosophy & teachings
β
Lightweight β
1B parameters β
4-bit quantized
β
Runs locally on < 8GB RAM devices
β
Supports RAG for improved factual accuracy
β
Suitable for desktop, mobile, and edge deployment
β οΈ Guidance & Respect for Teachings
π This AI does not replace a spiritual master, temple authority, or scriptural study.
It aims to:
- Support curiosity & learning
- Maintain respect for the Guru-shishya tradition
- Avoid personal interpretation or misinformation
For deeper guidance, devotees are encouraged to consult qualified ISKCON teachers.
π οΈ Technical Details
- Base Model:
unsloth/gemma-3-1b-it - Fine-Tuning Method: LoRA (4-bit QLoRA)
- Format: GGUF for local inference
- Data: Scraped Q&A transcripts from ISKCON discourses
- RAG-Ready: QA pairs stored in vector DB