LiqunMa / FBI-LLMLinks
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
☆51Updated 2 months ago
Alternatives and similar repositories for FBI-LLM
Users that are interested in FBI-LLM are comparing it to the libraries listed below
Sorting:
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆94Updated 11 months ago
- Work in progress.☆74Updated 4 months ago
- PB-LLM: Partially Binarized Large Language Models☆156Updated last year
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆36Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆30Updated last year
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆110Updated last year
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆40Updated last year
- QuIP quantization☆59Updated last year
- Repository for Sparse Finetuning of LLMs via modified version of the MosaicML llmfoundry☆42Updated last year
- ☆25Updated 7 months ago
- ACL 2023☆39Updated 2 years ago
- ☆46Updated 11 months ago
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- ☆23Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated last year
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆30Updated 4 months ago
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆55Updated 3 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆148Updated 3 months ago
- Repository for CPU Kernel Generation for LLM Inference☆26Updated 2 years ago
- [ICML 2024] Official Implementation of SLEB: Streamlining LLMs through Redundancy Verification and Elimination of Transformer Blocks☆37Updated 8 months ago
- ☆103Updated last week
- Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"☆100Updated last year
- ☆156Updated 2 years ago
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆14Updated last year
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆45Updated last year
- Flexible simulator for mixed precision and format simulation of LLMs and vision transformers.☆51Updated 2 years ago
- Implementation for the paper: CMoE: Fast Carving of Mixture-of-Experts for Efficient LLM Inference☆25Updated 7 months ago
- Official implementation of the ICML 2024 paper RoSA (Robust Adaptation)☆44Updated last year