Alternatives and similar repositories for FBI-LLM

Users that are interested in FBI-LLM are comparing it to the libraries listed below

• pprp / Pruner-Zero
  [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
  ☆92Updated 9 months ago
• IST-DASLab / QuEST
  Work in progress.
  ☆72Updated 2 months ago
• hahnyuan / PB-LLM
  PB-LLM: Partially Binarized Large Language Models
  ☆153Updated last year
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆33Updated last year
• ziplab / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆29Updated last year
• thu-ml / TetraJet-MXFP4Training
  Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training
  ☆28Updated 3 months ago
• TianjinYellow / StableSPAM
  ☆23Updated 5 months ago
• htqin / IR-QLoRA
  [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…
  ☆67Updated last year
• Qualcomm-AI-research / lr-qat
  ☆45Updated 10 months ago
• ruikangliu / Quantized-Reasoning-Models
  [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"
  ☆51Updated 2 months ago
• chu-tianxiang / QuIP-for-all
  QuIP quantization
  ☆59Updated last year
• GATECH-EIC / ShiftAddLLM
  ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  ☆111Updated 11 months ago
• ModelTC / QLLM
  [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…
  ☆39Updated last year
• IST-DASLab / QIGen
  Repository for CPU Kernel Generation for LLM Inference
  ☆26Updated 2 years ago
• snu-mllab / GuidedQuant
  Official PyTorch implementation of "GuidedQuant: Large Language Model Quantization via Exploiting End Loss Guidance" (ICML 2025)
  ☆43Updated 2 months ago
• thu-nics / MoA
  [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>
  ☆146Updated 2 months ago
• JarvisPei / CMoE
  Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference
  ☆25Updated 6 months ago
• IST-DASLab / SparseFinetuning
  Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry
  ☆42Updated last year
• ylsung / rsq
  Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"
  ☆19Updated 3 months ago
• facebookresearch / Ternary_Binary_Transformer
  ACL 2023
  ☆39Updated 2 years ago
• hahnyuan / ASVD4LLM
  Activation-aware Singular Value Decomposition for Compressing Large Language Models
  ☆78Updated 10 months ago
• IST-DASLab / MicroAdam
  This repository contains code for the MicroAdam paper.
  ☆19Updated 9 months ago
• rayleizhu / vllm-ra
  [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts
  ☆40Updated last year
• VILA-Lab / GBLM-Pruner
  Are gradient information useful for pruning of LLMs?
  ☆46Updated 3 weeks ago
• haochengxi / Train_Transformers_with_INT4
  ☆154Updated 2 years ago
• IST-DASLab / RoSA
  Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)
  ☆44Updated last year
• HuangOwen / RoLoRA
  [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  ☆38Updated 11 months ago
• BaohaoLiao / ApiQ
  [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs
  ☆14Updated last year
• thu-ml / low-bit-optimizers
  Low-bit optimizers for PyTorch
  ☆131Updated last year
• YuchuanTian / RethinkTinyLM
  [ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”
  ☆123Updated 8 months ago