Alternatives and similar repositories for IncreLoRA

Users that are interested in IncreLoRA are comparing it to the libraries listed below

• r-three / smear
  ☆29Updated last year
• ShiZhengyan / InstructionModelling
  [NeurIPS 2024 Main Track] Code for the paper titled "Instruction Tuning With Loss Over Instructions"
  ☆37Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆31Updated 9 months ago
• ChaosCodes / ProPETL
  One Network, Many Masks: Towards More Parameter-Efficient Transfer Learning
  ☆39Updated last year
• JayZhang42 / SLED
  SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Model https://arxiv.org/pdf/2411.02433
  ☆25Updated 6 months ago
• declare-lab / della
  DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
  ☆32Updated 10 months ago
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆23Updated 2 weeks ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• tianyi-lab / Mosaic-IT
  Mosaic IT: Enhancing Instruction Tuning with Data Mosaics
  ☆18Updated 3 months ago
• ChasonShi / MELoRA
  code for ACL24 "MELoRA: Mini-Ensemble Low-Rank Adapter for Parameter-Efficient Fine-Tuning"
  ☆19Updated 3 months ago
• SempraETY / Pruning-via-Merging
  ☆18Updated 6 months ago
• hbin0701 / Self-Explore
  [𝐄𝐌𝐍𝐋𝐏 𝐅𝐢𝐧𝐝𝐢𝐧𝐠𝐬 𝟐𝟎𝟐𝟒 & 𝐀𝐂𝐋 𝟐𝟎𝟐𝟒 𝐍𝐋𝐑𝐒𝐄 𝐎𝐫𝐚𝐥] 𝘌𝘯𝘩𝘢𝘯𝘤𝘪𝘯𝘨 𝘔𝘢𝘵𝘩𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭 𝘙𝘦𝘢𝘴𝘰𝘯𝘪𝘯…
  ☆51Updated last year
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆97Updated last year
• Infini-AI-Lab / S2FT
  ☆17Updated 5 months ago
• adymaharana / d2pruning
  ☆35Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆59Updated 3 months ago
• shawnricecake / Heima
  Code for Heima
  ☆43Updated last month
• sail-sg / ActivePRM
  ☆15Updated last month
• wang-kee / LiNeS
  Official repository of "LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging"
  ☆26Updated 7 months ago
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆31Updated last year
• VijayLingam95 / SVFT
  ☆28Updated 3 months ago
• ArminAzizi98 / LaMDA
  ☆15Updated 6 months ago
• which47 / LLMCL
  Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning
  ☆31Updated 6 months ago
• Shwai-He / SparseAdapter
  Source code of EMNLP 2022 Findings paper "SparseAdapter: An Easy Approach for Improving the Parameter-Efficiency of Adapters"
  ☆18Updated last year
• qiuzh20 / gated_attention
  The official implementation for Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
  ☆40Updated 3 weeks ago
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆27Updated 3 months ago
• luka-group / vlm-knowledge-conflict
  Code for paper "Unraveling Cross-Modality Knowledge Conflicts in Large Vision-Language Models."
  ☆42Updated 7 months ago
• GAIR-NLP / weak-to-strong-reasoning
  ☆59Updated 9 months ago
• fangyuan-ksgk / CoT-Reasoning-without-Prompting
  Unofficial Implementation of Chain-of-Thought Reasoning Without Prompting
  ☆32Updated last year
• GATECH-EIC / ACT
  [ICML 2024] Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibrati…
  ☆38Updated 11 months ago