fshnkarimi / Fine-tuning-an-LLM-using-LoRALinks
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.
β52Updated 2 years ago
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
Sorting:
- a curated list of the role of small models in the LLM eraβ105Updated last year
- β50Updated last year
- Implementation and evaluation of multimodal RAG with text and image inputs for industrial applicationsβ64Updated 11 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`.β153Updated last year
- β20Updated 4 years ago
- This repository contains a custom implementation of the BERT model, fine-tuned for specific tasks, along with an implementation of Low Raβ¦β78Updated last year
- β31Updated last year
- β78Updated 8 months ago
- Source code of the paper: RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering [Fβ¦β68Updated last year
- Official repository for RAGViz: Diagnose and Visualize Retrieval-Augmented Generation [EMNLP 2024]β85Updated 8 months ago
- Self-Controlled Memory System for LLMsβ50Updated last year
- FuseAI Projectβ87Updated 8 months ago
- RuleRAG: Rule-guided Retrieval-Augmented Generation with Language Models for Question Answeringβ27Updated 10 months ago
- This is the repo of developing reasoning models in the specific domain of financial, aim to enhance models capabilities in handling finanβ¦β65Updated 3 months ago
- β33Updated 11 months ago
- Codebase accompanying the Summary of a Haystack paper.β79Updated last year
- minimal scripts for 24GB VRAM GPUs. training, inference, whateverβ42Updated 2 weeks ago
- MathPrompter Implementation: This repository hosts an implementation based on the 'MathPrompter: Mathematical Reasoning Using Large Languβ¦β14Updated 5 months ago
- This is a repository of RALM surveys containing a summary of state-of-the-art RAG and other technologiesβ201Updated last year
- [ACL 2024] LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancementβ190Updated last year
- This is the code repo for our paper "Autonomously Knowledge Assimilation and Accommodation through Retrieval-Augmented Agents".β108Updated 11 months ago
- Minimal zero-shot intent classifier for arbitrary intent slot filling, via LLM prompting w LangChain.β35Updated 2 years ago
- [ACL'24] Official Implementation of the paper "Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs"(https:β¦β44Updated 5 months ago
- Large Language Models are zero-shot text classifiers; Smart Expert System: Large Language Models as Text Classifiersβ34Updated last year
- Official Code for Oα΄α΄Ι΄-RAG: Enhanced Retrieval Augmented Reasoning with Open-Source Large Language Models (EMNLP Findings 2024)β135Updated 7 months ago
- Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrieversβ72Updated 4 months ago
- β60Updated 10 months ago
- β155Updated last year
- Model, Code & Data for the EMNLP'23 paper "Making Large Language Models Better Data Creators"β135Updated last year
- Gemma2(9B), Llama3-8B-Finetune-and-RAG, code base for sample, implemented in Kaggle platformβ22Updated 8 months ago