Alternatives and similar repositories for fourierft:

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

• Chongjie-Si / Subspace-Tuning
  A generalized framework for subspace tuning methods in parameter efficient fine-tuning.
  ☆139Updated 2 months ago
• Outsider565 / LoRA-GA
  ☆194Updated 6 months ago
• Clin0212 / HydraLoRA
  [NeurIPS'24 Oral] HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning
  ☆195Updated 5 months ago
• wutaiqiang / MoSLoRA
  ☆100Updated 10 months ago
• TsinghuaC3I / SoRA
  [EMNLP 2023 Main] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆75Updated last year
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated 7 months ago
• TUDB-Labs / MixLoRA
  State-of-the-art Parameter-Efficient MoE Fine-tuning Method
  ☆157Updated 8 months ago
• GCYZSL / MoLA
  ☆132Updated 9 months ago
• mrflogs / LoRA-Pro
  Official code for our paper, "LoRA-Pro: Are Low-Rank Adapters Properly Optimized? "
  ☆115Updated 3 weeks ago
• DavidFanzz / SCMoE
  ☆22Updated 11 months ago
• transformer-vq / transformer_vq
  ☆189Updated last year
• lliai / Awesome-LoRA-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆94Updated 6 months ago
• ThreeSR / Awesome-Inference-Time-Scaling
  Paper List of Inference/Test Time Scaling/Computing
  ☆207Updated last week
• horseee / CoT-Valve
  CoT-Valve: Length-Compressible Chain-of-Thought Tuning
  ☆67Updated 2 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆65Updated last year
• OpenSparseLLMs / LLaMA-MoE-v2
  🚀 LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training
  ☆83Updated 5 months ago
• fscdc / Awesome-Efficient-Reasoning-Models
  [Arxiv 2025] Efficient Reasoning Models: A Survey
  ☆130Updated this week
• chuanyang-Zheng / DAPE
  The this is the official implementation of "DAPE: Data-Adaptive Positional Encoding for Length Extrapolation"
  ☆37Updated 6 months ago
• LINs-lab / DynMoE
  [ICLR 2025] Dynamic Mixture of Experts: An Auto-Tuning Approach for Efficient Transformer Models
  ☆88Updated 2 months ago
• osehmathias / lisa
  LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
  ☆31Updated last year
• ZhenweiAn / Dynamic_MoE
  Inference Code for Paper "Harder Tasks Need More Experts: Dynamic Routing in MoE Models"
  ☆47Updated 9 months ago
• hemingkx / TokenSkip
  TokenSkip: Controllable Chain-of-Thought Compression in LLMs
  ☆136Updated last month
• beccabai / Data-centric_multimodal_LLM
  Survey on Data-centric Large Language Models
  ☆83Updated 9 months ago
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆123Updated last year
• HKUNLP / diffusion-of-thoughts
  [NeurIPS 2024] Code for the paper "Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models"
  ☆147Updated 2 months ago
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆58Updated 2 months ago
• Dereck0602 / Awesome_Test_Time_LLMs
  ☆95Updated last month
• Ablustrund / LoRAMoE
  LoRAMoE: Revolutionizing Mixture of Experts for Maintaining World Knowledge in Language Model Alignment
  ☆326Updated last year
• sail-sg / sdft
  [ACL 2024] The official codebase for the paper "Self-Distillation Bridges Distribution Gap in Language Model Fine-tuning".
  ☆119Updated 6 months ago
• HKUDS / SepLLM
  SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
  ☆71Updated 4 months ago