fshnkarimi / Fine-tuning-an-LLM-using-LoRA
📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.
☆44Updated last year
Alternatives and similar repositories for Fine-tuning-an-LLM-using-LoRA:
Users that are interested in Fine-tuning-an-LLM-using-LoRA are comparing it to the libraries listed below
- ☆23Updated 4 months ago
- Implementation and evaluation of multimodal RAG with text and image inputs for industrial applications☆36Updated 2 months ago
- Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning☆43Updated last year
- InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized Rationales☆64Updated 2 months ago
- Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platform☆20Updated 6 months ago
- ☆85Updated 5 months ago
- [NeurIPS 2023] This is the code for the paper `Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias`.☆149Updated last year
- Official repository for RAGViz: Diagnose and Visualize Retrieval-Augmented Generation [EMNLP 2024]☆76Updated this week
- ☆19Updated 3 years ago
- ☆26Updated 9 months ago
- Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"☆97Updated 3 months ago
- ☆116Updated 3 months ago
- Text classification with Foundation Language Model LLaMA☆113Updated last year
- Large Language Models are zero-shot text classifiers; Smart Expert System: Large Language Models as Text Classifiers☆28Updated 7 months ago
- ☆137Updated 6 months ago
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absolute…☆48Updated 6 months ago
- Tree prompting: easy-to-use scikit-learn interface for improved prompting.☆35Updated last year
- A full pipeline to finetune Alpaca LLM with LoRA and RLHF on consumer hardware. Implementation of RLHF (Reinforcement Learning with Human…☆58Updated last year
- Code for the EMNLP 2024 paper "Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps"☆118Updated 5 months ago
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers☆59Updated 7 months ago
- ☆15Updated 3 months ago
- Codes and datasets for the paper Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Ref…☆34Updated 3 months ago
- Aligning with Human Judgement: The Role of Pairwise Preference in Large Language Model Evaluators (Liu et al.; COLM 2024)☆41Updated 3 weeks ago
- LLM_library is a comprehensive repository serves as a one-stop resource hands-on code, insightful summaries.☆68Updated last year
- Resources for our paper: "EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms"☆77Updated 3 months ago
- Open Implementations of LLM Analyses☆98Updated 3 months ago
- Fine-tune ModernBERT on a large Dataset with Custom Tokenizer Training☆52Updated 3 weeks ago
- This repository contains a custom implementation of the BERT model, fine-tuned for specific tasks, along with an implementation of Low Ra…☆67Updated last year