Alternatives and similar repositories for sparse_matrix_fine_tuning

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

• thunlp / SparsingLaw
  The open-source materials for paper "Sparsing Law: Towards Large Language Models with Greater Activation Sparsity".
  ☆23Updated 8 months ago
• IST-DASLab / RoSA
  Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)
  ☆42Updated last year
• Qichuzyy / POA
  Official implementation of ECCV24 paper: POA
  ☆24Updated 11 months ago
• mit-han-lab / VisCompare
  A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders
  ☆24Updated 4 months ago
• lucasjinreal / ImageTokenizer
  imagetokenizer is a python package, helps you encoder visuals and generate visuals token ids from codebook, supports both image and video…
  ☆34Updated last year
• TRI-ML / linear_open_lm
  A repository for research on medium sized language models.
  ☆77Updated last year
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆85Updated last year
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆51Updated 5 months ago
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆31Updated last year
• frankxwang / dpo-prefix-sharing
  DPO, but faster 🚀
  ☆43Updated 7 months ago
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆60Updated last year
• VITA-Group / WeLore
  From GaLore to WeLore: How Low-Rank Weights Non-uniformly Emerge from Low-Rank Gradients. Ajay Jaiswal, Lu Yin, Zhenyu Zhang, Shiwei Liu,…
  ☆47Updated 2 months ago
• Infini-AI-Lab / S2FT
  ☆18Updated 6 months ago
• smonsays / hypernetwork-attention
  Official code for the paper "Attention as a Hypernetwork"
  ☆40Updated last year
• kyleliang919 / Online-Subspace-Descent
  [NeurIPS 2024] Low rank memory efficient optimizer without SVD
  ☆30Updated last week
• LiqunMa / FBI-LLM
  FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
  ☆49Updated last year
• thunlp / APB
  Official Implementation of APB (ACL 2025 main Oral)
  ☆29Updated 4 months ago
• RWKV / RWKV-LM
  RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best…
  ☆49Updated 3 months ago
• Infini-AI-Lab / gsm_infinite
  ☆47Updated last month
• ylsung / rsq
  Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"
  ☆18Updated last month
• pixeli99 / MixLN
  [ICLR 2025] Official Pytorch Implementation of "Mix-LN: Unleashing the Power of Deeper Layers by Combining Pre-LN and Post-LN" by Pengxia…
  ☆25Updated 6 months ago
• csguoh / IntLoRA
  [ICML2025] LoRA fine-tune directly on the quantized models.
  ☆31Updated 7 months ago
• yangjackie / Topics-on-diffusion-generative-models
  ☆26Updated last week
• kyegomez / Blockwise-Parallel-Transformer
  32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
  ☆48Updated 2 years ago
• kyleliang919 / Super_Muon
  ☆59Updated 3 months ago
• NathanGodey / qfilters
  Repository for the Q-Filters method (https://arxiv.org/pdf/2503.02812)
  ☆33Updated 4 months ago
• Lucky-Lance / TerDiT
  TerDiT: Ternary Diffusion Models with Transformers
  ☆71Updated last year
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆85Updated 7 months ago
• leezythu / FocusLLM
  FocusLLM: Scaling LLM’s Context by Parallel Decoding
  ☆41Updated 7 months ago
• YuchuanTian / DiJiang
  [ICML'24 Oral] The official code of "DiJiang: Efficient Large Language Models through Compact Kernelization", a novel DCT-based linear at…
  ☆101Updated last year