Alternatives and similar repositories for FrameQuant

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

• INT-FlashAttention2024 / INT-FlashAttention
  ☆77Updated 6 months ago
• Dao-AILab / fast-hadamard-transform
  Fast Hadamard transform in CUDA, with a PyTorch interface
  ☆209Updated last year
• facebookresearch / ParetoQ
  This repository contains the training code of ParetoQ introduced in our work "ParetoQ Scaling Laws in Extremely Low-bit LLM Quantization"
  ☆89Updated last month
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆25Updated 8 months ago
• IST-DASLab / qutlass
  QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning
  ☆45Updated last week
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆20Updated last week
• SqueezeBits / QUICK
  QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference
  ☆118Updated last year
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆63Updated last year
• thu-ml / Jetfire-INT8Training
  ☆52Updated last year
• SNU-ARC / any-precision-llm
  [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs
  ☆111Updated 2 weeks ago
• ScalingIntelligence / CATS
  ☆27Updated 8 months ago
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆47Updated 2 years ago
• kssteven418 / SqueezeLLM-gradients
  ☆20Updated last year
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• ChenMnZ / PrefixQuant
  An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization
  ☆145Updated 2 months ago
• fmfi-compbio / admm-pruning
  ☆28Updated last year
• wangsiping97 / FastGEMV
  High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.
  ☆112Updated last year
• Qualcomm-AI-research / gptvq
  ☆33Updated last year
• Qualcomm-AI-research / transformer-quantization
  ☆206Updated 3 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆153Updated 2 years ago
• Intelligent-Computing-Lab-Panda / TesseraQ
  ☆22Updated 8 months ago
• IST-DASLab / gemm-fp8
  High Performance FP8 GEMM Kernels for SM89 and later GPUs.
  ☆16Updated 6 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆80Updated 10 months ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 7 months ago
• mit-han-lab / tinychat-tutorial
  ☆71Updated 8 months ago
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆109Updated 9 months ago
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆36Updated 10 months ago
• naver-aics / lut-gemm
  ☆62Updated last year
• ModelTC / Outlier_Suppression_Plus
  Official implementation of the EMNLP23 paper: Outlier Suppression+: Accurate quantization of large language models by equivalent and opti…
  ☆46Updated last year
• ruikangliu / FlatQuant
  [ICML 2025] Official PyTorch implementation of "FlatQuant: Flatness Matters for LLM Quantization"
  ☆148Updated this week