Alternatives and similar repositories for LoftQ

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

• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆145Updated last year
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆176Updated last year
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆454Updated last year
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆298Updated last year
• HanGuo97 / lq-lora
  ☆128Updated 2 years ago
• FasterDecoding / BitDelta
  ☆204Updated last year
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆364Updated 2 months ago
• jongwooko / distillm
  Official PyTorch implementation of DistiLLM: Towards Streamlined Distillation for Large Language Models (ICML 2024)
  ☆249Updated 10 months ago
• thu-ml / low-bit-optimizers
  Low-bit optimizers for PyTorch
  ☆137Updated 2 years ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆401Updated last year
• haochengxi / Train_Transformers_with_INT4
  ☆157Updated 2 years ago
• pratyushasharma / laser
  The Truth Is In There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
  ☆390Updated last year
• sramshetty / ShortGPT
  Unofficial implementations of block/layer-wise pruning methods for LLMs.
  ☆77Updated last year
• shreyansh26 / Speculative-Sampling
  Implementation of Speculative Sampling as described in "Accelerating Large Language Model Decoding with Speculative Sampling" by Deepmind
  ☆105Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆323Updated 10 months ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆84Updated last year
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆394Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆274Updated 2 years ago
• FasterDecoding / TEAL
  ☆158Updated 11 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆639Updated last year
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)
  ☆147Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆157Updated 2 years ago
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆124Updated last year
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆176Updated last year
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆219Updated 2 years ago
• jiwonsong-dev / SLEB
  [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks
  ☆39Updated 11 months ago
• FasterDecoding / SnapKV
  ☆300Updated 6 months ago
• Lucky-Lance / Expert_Sparsity
  [ACL 2024] Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
  ☆113Updated last year
• Guitaricet / relora
  Official code for ReLoRA from the paper Stack More Layers Differently: High-Rank Training Through Low-Rank Updates
  ☆474Updated last year
• HKUNLP / ChunkLlama
  [ICML'24] Data and code for our paper "Training-Free Long-Context Scaling of Large Language Models"
  ☆445Updated last year