csguoh / OBRLinks
The first W4A4KV4 quantized + 50% sparse LLMs!
☆20Updated last month
Alternatives and similar repositories for OBR
Users that are interested in OBR are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] Mixture Compressor for Mixture-of-Experts LLMs Gains More☆65Updated 11 months ago
- [ICML24] Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs☆98Updated last year
- [ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization☆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 2024 Oral] This project is the official implementation of our Accurate LoRA-Finetuning Quantization of LLMs via Information Retenti…☆67Updated last year
- Triton implement of bi-directional (non-causal) linear attention☆60Updated 11 months ago
- ☆13Updated 6 months ago
- Pytorch implementation of "Oscillation-Reduced MXFP4 Training for Vision Transformers" on DeiT Model Pre-training☆34Updated 6 months ago
- FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation☆50Updated 4 months ago
- A WebUI for Side-by-Side Comparison of Media (Images/Videos) Across Multiple Folders☆24Updated 10 months ago
- [EMNLP 2024] Quantize LLM to extremely low-bit, and finetune the quantized LLMs☆15Updated last year
- The code repository of "MBQ: Modality-Balanced Quantization for Large Vision-Language Models"☆73Updated 9 months ago
- Code for Draft Attention☆98Updated 7 months ago
- [NeurIPS'25] dKV-Cache: The Cache for Diffusion Language Models☆128Updated 7 months ago
- FastCache: Fast Caching for Diffusion Transformer Through Learnable Linear Approximation [Efficient ML Model]☆46Updated last month
- [ICML 2025 Oral] Mixture of Lookup Experts☆61Updated last month
- ☆15Updated 9 months ago
- [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models☆35Updated last year
- [NeurIPS'25] The official code implementation for paper "R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Tok…☆72Updated this week
- ☆24Updated last year
- Code for "RSQ: Learning from Important Tokens Leads to Better Quantized LLMs"☆20Updated 7 months ago
- ☆263Updated 7 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆153Updated last month
- A curated list of recent papers on efficient video attention for video diffusion models, including sparsification, quantization, and cach…☆52Updated 2 months ago
- [ICML 2025] This is the official PyTorch implementation of "ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality…☆53Updated 9 months ago
- Fast and memory-efficient exact kmeans☆133Updated 2 months ago
- An efficient implementation of the NSA (Native Sparse Attention) kernel☆128Updated 6 months ago
- (NeurIPS 2024) BiDM: Pushing the Limit of Quantization for Diffusion Models☆22Updated last year
- SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention☆233Updated 2 weeks ago
- [ICLR25] STBLLM: Breaking the 1-Bit Barrier with Structured Binary LLMs☆18Updated 7 months ago