Instructions to use rupind/ReguGuide_01 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use rupind/ReguGuide_01 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("meta-llama/Llama-3.1-8B-Instruct", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("rupind/ReguGuide_01") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
ReguGuide_01

- Prompt
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Model description
ReguGuide is a demonstration project showcasing how LLM models can be trained on a specific domain to create chat bots that will answer domain specific queries. For this experiment, data on Reserve Bank of India (RBI) guidelines and Indian banking regulations have been used to train the model.
Note: This is an experimental app created for learning and demonstration purposes. As a compact AI designed to run efficiently on mobile phones, the app may occasionally provide simplified or imprecise answers to complex questions. The information provided should not be considered financial or legal advice.
Download model
Weights for this model are available in Safetensors,PyTorch format.
Download them in the Files & versions tab.
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Base model
meta-llama/Llama-3.1-8B