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ia3 开源项目推荐(9 个)
ia3 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 9
GitHub 共 9 个仓库,已全部展示qwen models finetuning
Exploratory code for circuit-localized, two-stage IA3 knowledge editing in Phi-3; companion artifact to arXiv:2508.07075.
Experiments on optimizing of Large Language Models (LLMs) using Parameter Efficient Fine-Tuning (PEFT) with techniques like LORA and IA3 for faster inference and reduced memory usage.
Fine-tuned chemical language model for predicting molecular lipophilicity in drug design. Explores parameter-efficient fine-tuning strategies (LoRA, BitFit, IA3), layer freezing techniques, and influence-based data selection. Balances accuracy and computational efficiency for molecular property prediction tasks.
A comprehensive benchmark suite comparing Parameter-Efficient Fine-Tuning (PEFT) techniques including LoRA, QLoRA, and IA3, against full fine-tuning for transformer-based text classification across DistilBERT, RoBERTa, and DeBERTa for sentiment classification, focusing on accuracy, efficiency, and hardware-aware optimization.
ESM-2 and IA3 parameter-efficient functional peptide classification with a Streamlit inference demo
Benchmarking QLoRA, DoRA and IA3 vs RAG on Llama-3.2-3B for legal contract risk analysis — 4-layer evaluation framework with statistical significance testing
Elixir port of HuggingFace's PEFT (Parameter-Efficient Fine-Tuning) library. Implements LoRA, AdaLoRA, IA3, prefix tuning, prompt tuning, and 30+ state-of-the-art PEFT methods for efficient neural network adaptation. Built for the BEAM ecosystem with native Nx/Axon integration.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 9 个项目;原始页面见 https://github.com/topics/ia3。
- 该话题在 GitHub 上共有 9 个仓库, 本站收录的是其中最热门的 9 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 9 个项目累计 1633 Star,覆盖 2 种主要语言,数据更新于 2026-11-06。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。