Alternatives and similar repositories for torch-int

Users that are interested in torch-int are comparing it to the libraries listed below

• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆305Updated 11 months ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆390Updated 6 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆251Updated 7 months ago
• IST-DASLab / OBC
  Code for the NeurIPS 2022 paper "Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning".
  ☆120Updated last year
• ruikangliu / FlatQuant
  Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆133Updated 2 weeks ago
• microsoft / SparTA
  ☆146Updated 10 months ago
• Qualcomm-AI-research / FP8-quantization
  ☆149Updated 2 years ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆192Updated last year
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆136Updated last week
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆156Updated last year
• FlagOpen / FlagAttention
  A collection of memory efficient attention operators implemented in the Triton language.
  ☆271Updated 11 months ago
• thu-nics / qllm-eval
  Code Repository of Evaluating Quantized Large Language Models
  ☆123Updated 8 months ago
• ColfaxResearch / cutlass-kernels
  ☆208Updated 10 months ago
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆99Updated last month
• FMInference / DejaVu
  ☆322Updated last year
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆281Updated 3 months ago
• tgale96 / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆93Updated this week
• HandH1998 / QQQ
  QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.
  ☆124Updated last month
• NVlabs / COAT
  [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training
  ☆203Updated 2 weeks ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 6 months ago
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆118Updated last year
• aojunzz / NM-sparsity
  ☆232Updated 2 years ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆355Updated 9 months ago
• fanshiqing / grouped_gemm
  PyTorch bindings for CUTLASS grouped GEMM.
  ☆125Updated 5 months ago
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆109Updated 10 months ago
• nbasyl / LLM-FP4
  The official implementation of the EMNLP 2023 paper LLM-FP4
  ☆204Updated last year
• facebookresearch / LLM-QAT
  Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"
  ☆287Updated 3 months ago
• microsoft / microxcaling
  PyTorch emulation library for Microscaling (MX)-compatible data formats
  ☆236Updated last month
• Qualcomm-AI-research / transformer-quantization
  ☆204Updated 3 years ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆271Updated this week