Efficient LLM fine-tuning
Falcon-7B Assistant
A conversational AI project exploring QLoRA, quantization, embeddings and retrieval for efficient domain adaptation of a 7B-parameter language model.
QLoRALangChainNLPQuantizationLLMs
A conversational AI project exploring parameter-efficient fine-tuning and retrieval using Falcon-7B.
Problem
Adapting large language models for specialized domains efficiently without prohibitive compute costs.
Architecture
- Fine-tuning strategy: QLoRA (Quantized Low-Rank Adaptation)
- Inference optimization: 4-bit Quantization
- Retrieval: Vector embeddings and LangChain-based document retrieval
Learnings
This project originated as a student-focused conversational agent and demonstrated how open-weights models could be fine-tuned efficiently on consumer hardware.
Tech Stack
- Falcon-7B
- QLoRA
- LangChain
- Embeddings
- Quantization
- NLP