Alternatives and similar repositories for lisa:

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

• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆48Updated last year
• sail-sg / scaling-with-vocab
  [NeurIPS-2024] 📈 Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies https://arxiv.org/abs/2407.13623
  ☆75Updated 3 months ago
• GCYZSL / MoLA
  ☆121Updated 5 months ago
• andyjm3 / SLTrain
  SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining (NeurIPS 2024)
  ☆27Updated 2 months ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆89Updated 4 months ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆61Updated 2 months ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆39Updated 2 months ago
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆94Updated 2 months ago
• LZY-the-boys / Twin-Merging
  [NeurIPS2024] Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging
  ☆47Updated last month
• FeiyuZhang98 / IncreLoRA
  ☆30Updated last year
• UNITES-Lab / MC-SMoE
  [ICLR 2024 Spotlight] Code for the paper "Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy"
  ☆70Updated 7 months ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆34Updated 3 months ago
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆20Updated 6 months ago
• TUDB-Labs / MoE-PEFT
  An Efficient LLM Fine-Tuning Factory Optimized for MoE PEFT
  ☆61Updated 2 weeks ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆42Updated 2 months ago
• haonan3 / AnchorContext
  AnchorAttention: Improved attention for LLMs long-context training
  ☆202Updated this week
• pixeli99 / OwLore
  Official Pytorch Implementation of "OwLore: Outlier-weighed Layerwise Sampled Low-Rank Projection for Memory-Efficient LLM Fine-tuning" b…
  ☆29Updated 7 months ago
• HKUNLP / diffusion-of-thoughts
  [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"
  ☆94Updated 10 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆133Updated 10 months ago
• MrGGLS / BlockPruner
  A block pruning framework for LLMs.
  ☆15Updated 6 months ago
• SempraETY / Pruning-via-Merging
  ☆16Updated last month
• r-three / smear
  ☆27Updated last year
• yule-BUAA / MergeLLM
  Codes for Merging Large Language Models
  ☆27Updated 5 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆70Updated 10 months ago
• sail-sg / Attention-Sink
  [ATTRIB @ NeurIPS 2024 Oral] When Attention Sink Emerges in Language Models: An Empirical View
  ☆43Updated 3 months ago
• sail-sg / CPO
  [NeurIPS 2024] The official implementation of paper: Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs.
  ☆88Updated 3 months ago
• aim-uofa / LoRAPrune
  ☆45Updated last month
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆107Updated 2 months ago
• cliang1453 / task-aware-distillation
  Less is More: Task-aware Layer-wise Distillation for Language Model Compression (ICML2023)
  ☆32Updated last year