Alternatives and similar repositories for LANTERN

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

• ZO-Bench / ZO-LLM
  [ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
  ☆110Updated 2 months ago
• cjyaras / deep-lora-transformers
  Compressible Dynamics in Deep Overparameterized Low-Rank Learning & Adaptation (ICML'24 Oral)
  ☆13Updated last year
• jongwooko / distillm-2
  Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)
  ☆37Updated 2 months ago
• lliai / LoRA-Zoo
  Awesome-Low-Rank-Adaptation
  ☆115Updated 10 months ago
• sungyubkim / gex
  Official code implementation of "GEX: A flexible method for approximating influence via Geometric Ensemble" (NeurIPS 2023)
  ☆13Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆104Updated 2 years ago
• abcdxyzpqrst / Trimmed_Penalty
  Implementations for "Trimming the ℓ₁ Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning" Published on ICM…
  ☆34Updated 4 years ago
• liyunqianggyn / Awesome-LLMs-Pruning
  Awesome LLM pruning papers all-in-one repository with integrating all useful resources and insights.
  ☆117Updated 3 weeks ago
• haizhongzheng / LTE
  ☆11Updated 10 months ago
• JingXuTHU / Random-Masking-Finds-Winning-Tickets-for-Parameter-Efficient-Fine-tuning
  ☆14Updated last year
• aim-uofa / LoRAPrune
  ☆58Updated 8 months ago
• biomedical-cybernetics / Relative-importance-and-activation-pruning
  ☆51Updated last year
• OPTML-Group / DeepZero
  [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…
  ☆66Updated 10 months ago
• Jaeyun-Song / AM3-MAML
  meta learning from the initializaion induced by word embedding
  ☆22Updated 4 years ago
• MohammadrezaBanaei / LoRA-XS
  LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
  ☆35Updated last month
• withinmiaov / A-Survey-on-Mixture-of-Experts-in-LLMs
  [TKDE'25] The official GitHub page for the survey paper "A Survey on Mixture of Experts in Large Language Models".
  ☆412Updated last month
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆49Updated 10 months ago
• LOG-postech / rethinking-LLM-pruning
  ☆28Updated 6 months ago
• ZhengaoLi / DISP-LLM-Dimension-Independent-Structural-Pruning
  An implementation of the DISP-LLM method from the NeurIPS 2024 paper: Dimension-Independent Structural Pruning for Large Language Models.
  ☆22Updated last month
• shimazing / Graph-Transplant
  ☆36Updated 2 years ago
• WeiHuang05 / Awesome_Large_Foundation_Model_Theory
  Welcome to the 'In Context Learning Theory' Reading Group
  ☆30Updated 9 months ago
• Wang-ML-Lab / bayesian-peft
  [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models
  ☆28Updated 3 weeks ago
• codecaution / Awesome-Mixture-of-Experts-Papers
  A curated reading list of research in Mixture-of-Experts(MoE).
  ☆641Updated 10 months ago
• QingruZhang / PLATON
  This pytorch package implements PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance (ICML 2022).
  ☆46Updated 2 years ago
• anniesch / surgical-finetuning
  Code for "Surgical Fine-Tuning Improves Adaptation to Distribution Shifts" published at ICLR 2023
  ☆29Updated 2 years ago
• EnnengYang / Awesome-Model-Merging-Methods-Theories-Applications
  Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
  ☆518Updated this week
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆29Updated 7 months ago
• hemingkx / SpeculativeDecodingPapers
  📰 Must-read papers and blogs on Speculative Decoding ⚡️
  ☆906Updated this week
• TianjinYellow / EdgeDeviceLLMCompetition-Starting-Kit
  ☆43Updated 10 months ago
• nsfzyzz / loss_landscape_taxonomy
  [NeurIPS 2021] code for "Taxonomizing local versus global structure in neural network loss landscapes" https://arxiv.org/abs/2107.11228
  ☆19Updated 3 years ago