fshnkarimi / Fine-tuning-an-LLM-using-LoRA
π 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.
β47Updated 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
- Official repository for RAGViz: Diagnose and Visualize Retrieval-Augmented Generation [EMNLP 2024]β82Updated 2 months ago
- Official repo for the paper PHUDGE: Phi-3 as Scalable Judge. Evaluate your LLMs with or without custom rubric, reference answer, absoluteβ¦β49Updated 8 months ago
- β24Updated 6 months ago
- Lightweight demos for finetuning LLMs. Powered by π€ transformers and open-source datasets.β73Updated 5 months ago
- β20Updated 3 years ago
- β42Updated last week
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrieversβ65Updated 10 months ago
- Implementation and evaluation of multimodal RAG with text and image inputs for industrial applicationsβ43Updated 4 months ago
- Minimal zero-shot intent classifier for arbitrary intent slot filling, via LLM prompting w LangChain.β33Updated 2 years ago
- β16Updated 5 months ago
- MathPrompter Implementation: This repository hosts an implementation based on the 'MathPrompter: Mathematical Reasoning Using Large Languβ¦β13Updated 8 months ago
- FuseAI Projectβ84Updated 2 months ago
- Fine-tune and quantize Llama-2-like models to generate Python code using QLoRA, Axolot,..β64Updated last year
- Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [Fβ¦β62Updated 10 months ago
- ApolloMoE: Efficiently Democratizing Medical LLMs for 50 Languages via a Mixture of Language Family Expertsβ40Updated 4 months ago
- HuggingChat like UI in Gradioβ71Updated last year
- Create a knowledge graph out of unstructed legal text - use said knowledge graph in a graph augmented retrieval augmented generation pipeβ¦β39Updated 6 months ago
- β62Updated this week
- β143Updated 8 months ago
- a curated list of the role of small models in the LLM eraβ97Updated 6 months ago
- β56Updated 3 months ago
- This repository contains a custom implementation of the BERT model, fine-tuned for specific tasks, along with an implementation of Low Raβ¦β70Updated last year
- β43Updated 9 months ago
- Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuningβ46Updated last year
- π A deep-dive into HyDE for Advanced LLM RAG + π‘ Introducing AutoHyDE, a semi-supervised framework to improve the effectiveness, coveraβ¦β32Updated last year
- A simple GPT-based evaluation tool for multi-aspect, interpretable assessment of LLMs.β85Updated last year
- EMNLP 2024 "Re-reading improves reasoning in large language models". Simply repeating the question to get bidirectional understanding forβ¦β25Updated 3 months ago
- RuleRAG: Rule-guided Retrieval-Augmented Generation with Language Models for Question Answeringβ21Updated 4 months ago
- β74Updated last year
- Finetune any model on HF in less than 30 secondsβ58Updated 2 months ago