ilur98 / DGQLinks
Official Code For Dual Grained Quantization: Efficient Fine-Grained Quantization for LLM
☆14Updated 2 years ago
Alternatives and similar repositories for DGQ
Users that are interested in DGQ are comparing it to the libraries listed below
Sorting:
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆30Updated last year
- [ICLR 2025] Linear Combination of Saved Checkpoints Makes Consistency and Diffusion Models Better☆16Updated 10 months ago
- [ICLR 2024] This is the official PyTorch implementation of "QLLM: Accurate and Efficient Low-Bitwidth Quantization for Large Language Mod…☆39Updated last year
- BESA is a differentiable weight pruning technique for large language models.☆17Updated last year
- torch_quantizer is a out-of-box quantization tool for PyTorch models on CUDA backend, specially optimized for Diffusion Models.☆22Updated last year
- ☆30Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…☆41Updated 3 months ago
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆20Updated 6 months ago
- AFPQ code implementation☆23Updated 2 years ago
- [ICML 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- ☆24Updated last year
- [COLM 2025] Official PyTorch implementation of "Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models"☆62Updated 5 months ago
- ☆62Updated 2 years ago
- Low-Rank Llama Custom Training☆23Updated last year
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆98Updated last year
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆64Updated 6 months ago
- ACL 2023☆39Updated 2 years ago
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 10 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Updated last year
- This repo contains the source code for: Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs☆43Updated last year
- [CVPR 2025] Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers☆73Updated last year
- Code for "Everybody Prune Now: Structured Pruning of LLMs with only Forward Passes"☆29Updated last year
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆83Updated last year
- ☆31Updated last year
- [TMLR] Official PyTorch implementation of paper "Efficient Quantization-aware Training with Adaptive Coreset Selection"☆36Updated last year
- [ACL 2024] RelayAttention for Efficient Large Language Model Serving with Long System Prompts☆40Updated last year
- Are gradient information useful for pruning of LLMs?☆47Updated 4 months ago
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆50Updated 4 months ago
- [ACL 2025] Squeezed Attention: Accelerating Long Prompt LLM Inference☆55Updated last year