IST-DASLab / HALOLinks
HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arxiv.org/abs/2501.02625
☆23Updated 7 months ago
Alternatives and similar repositories for HALO
Users that are interested in HALO are comparing it to the libraries listed below
Sorting:
- ☆143Updated 7 months ago
- LLM Inference with Microscaling Format☆31Updated 10 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆153Updated 4 months ago
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆168Updated last year
- ☆129Updated 4 months ago
- ☆55Updated last year
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆142Updated 7 months ago
- ☆82Updated 8 months ago
- Code for paper: [ICLR2025 Oral] FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference☆142Updated 4 months ago
- [ICML 2025] SliM-LLM: Salience-Driven Mixed-Precision Quantization for Large Language Models☆44Updated last year
- AFPQ code implementation☆23Updated last year
- 16-fold memory access reduction with nearly no loss☆105Updated 6 months ago
- ☆28Updated 10 months ago
- [ICML 2025] XAttention: Block Sparse Attention with Antidiagonal Scoring☆234Updated 3 months ago
- ☆46Updated 11 months ago
- [ICML 2024 Oral] Any-Precision LLM: Low-Cost Deployment of Multiple, Different-Sized LLMs☆115Updated 3 months ago
- [ICML 2025] SparseLoRA: Accelerating LLM Fine-Tuning with Contextual Sparsity☆57Updated 3 months ago
- ☆22Updated 11 months ago
- SQUEEZED ATTENTION: Accelerating Long Prompt LLM Inference☆54Updated 10 months ago
- Activation-aware Singular Value Decomposition for Compressing Large Language Models☆80Updated 11 months ago
- [ICLR 2025] COAT: Compressing Optimizer States and Activation for Memory-Efficient FP8 Training☆240Updated 2 months ago
- [CoLM'25] The official implementation of the paper <MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression>☆146Updated 3 months ago
- [COLM 2024] SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models☆24Updated last year
- Quantized Attention on GPU☆44Updated 10 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆111Updated last week
- Boosting 4-bit inference kernels with 2:4 Sparsity☆82Updated last year
- Pytorch implementation of our paper accepted by ICML 2024 -- CaM: Cache Merging for Memory-efficient LLMs Inference☆46Updated last year
- [EMNLP 2024] RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization☆38Updated last year
- PyTorch bindings for CUTLASS grouped GEMM.☆124Updated 4 months ago
- The evaluation framework for training-free sparse attention in LLMs☆100Updated 3 months ago