Alternatives and similar repositories for low-bit-optimizers

Users that are interested in low-bit-optimizers are comparing it to the libraries listed below

• haochengxi / Train_Transformers_with_INT4
  ☆157Updated 2 years ago
• yxli2123 / LoftQ
  ☆235Updated last year
• Dao-AILab / grouped-latent-attention
  ☆133Updated 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…
  ☆104Updated last year
• FasterDecoding / TEAL
  ☆156Updated 11 months ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆225Updated 7 months ago
• kyegomez / FlashAttention20
  Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
  ☆113Updated 2 years ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆83Updated last year
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆126Updated last year
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆124Updated last year
• FasterDecoding / BitDelta
  ☆204Updated last year
• epfml / dynamic-sparse-flash-attention
  ☆150Updated 2 years ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆219Updated 2 years ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆175Updated last year
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆257Updated 5 months ago
• OpenNLPLab / lightning-attention
  Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models
  ☆338Updated 10 months ago
• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆61Updated last year
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆123Updated last year
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆163Updated 9 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆176Updated last year
• thu-ml / ReMoE
  [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.
  ☆104Updated last year
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆197Updated 2 years ago
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆157Updated 2 years ago
• thunlp / Ouroboros
  Ouroboros: Speculative Decoding with Large Model Enhanced Drafting (EMNLP 2024 main)
  ☆113Updated 9 months ago
• berlino / gated_linear_attention
  ☆106Updated last year
• HanGuo97 / lq-lora
  ☆127Updated last year
• sramshetty / mixture-of-depths
  An unofficial implementation of "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆36Updated last year
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆88Updated last year
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆259Updated 3 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆397Updated last year