Alternatives and similar repositories for Train_Transformers_with_INT4

Users that are interested in Train_Transformers_with_INT4 are comparing it to the libraries listed below

• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆210Updated last year
• hahnyuan / RPTQ4LLM
  Reorder-based post-training quantization for large language model
  ☆192Updated 2 years ago
• opengear-project / GEAR
  GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM
  ☆165Updated last year
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆360Updated 11 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆313Updated last year
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆121Updated 2 years ago
• Macaronlin / LLaMA3-Quantization
  A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..
  ☆191Updated 6 months ago
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆142Updated last month
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆302Updated 4 months ago
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆215Updated 3 weeks ago
• Aaronhuang-778 / BiLLM
  [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs
  ☆222Updated 6 months ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆152Updated last year
• jy-yuan / KIVI
  [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache
  ☆311Updated 5 months ago
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆115Updated last year
• Equationliu / Kangaroo
  [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…
  ☆58Updated last year
• thu-ml / low-bit-optimizers
  Low-bit optimizers for PyTorch
  ☆129Updated last year
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆130Updated 10 months ago
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆206Updated last year
• yxli2123 / LoftQ
  ☆223Updated last year
• Dao-AILab / grouped-latent-attention
  ☆116Updated last month
• FasterDecoding / TEAL
  ☆136Updated 4 months ago
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆141Updated last month
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆74Updated 8 months ago
• FMInference / DejaVu
  ☆330Updated last year
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆80Updated 10 months ago
• kyegomez / FlashAttention20
  Get down and dirty with FlashAttention2.0 in pytorch, plug in and play no complex CUDA kernels
  ☆105Updated last year
• stanford-futuredata / stk
  ☆106Updated 10 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆404Updated 7 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆201Updated last year