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Rupa421
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Model Details
Model Provider
Rupa421
Model Tree
TinyLlama/TinyLlama-1.1B-Chat-v1.0
Input Modalities
Output Modalities
Supported Functionality
python
from transformers import AutoTokenizer, AutoModelForCausalLMfrom peft import PeftModel tokenizer = AutoTokenizer.from_pretrained( "TinyLlama/TinyLlama-1.1B-Chat-v1.0") base_model = AutoModelForCausalLM.from_pretrained( "TinyLlama/TinyLlama-1.1B-Chat-v1.0") model = PeftModel.from_pretrained( base_model, "Rupa421/TinyLlama-LoRA")text
### Instruction:Explain what LoRA is. ### Response:This project was built to demonstrate an end-to-end parameter-efficient fine-tuning (PEFT) workflow using:
The project covers dataset formatting, prompt engineering, LoRA configuration, supervised fine-tuning, inference, and publishing the trained adapter to Hugging Face.
Built with ❤️ while learning PyTorch Internals and Transformer Architecture.
### Instruction:Explain what LoRA is.### Response: