SqueezeAILab / KVQuantLinks
[NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
☆391Updated last year
Alternatives and similar repositories for KVQuant
Users that are interested in KVQuant are comparing it to the libraries listed below
Sorting:
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆331Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆335Updated last week
- ☆290Updated 4 months ago
- The official implementation of the EMNLP 2023 paper LLM-FP4☆218Updated last year
- ☆347Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆454Updated last year
- GEAR: An Efficient KV Cache Compression Recipefor Near-Lossless Generative Inference of LLM☆170Updated last year
- ☆154Updated 9 months ago
- [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration☆243Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆786Updated 8 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆356Updated 4 months ago
- [NeurIPS'23] H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models.☆488Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆272Updated 4 months ago
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆507Updated 9 months ago
- Code repo for the paper "LLM-QAT Data-Free Quantization Aware Training for Large Language Models"☆323Updated 8 months ago
- [ICLR 2025] Palu: Compressing KV-Cache with Low-Rank Projection☆148Updated 9 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆132Updated 11 months ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆218Updated last year
- Code repo for the paper "SpinQuant LLM quantization with learned rotations"☆352Updated 9 months ago
- [ICML 2024] BiLLM: Pushing the Limit of Post-Training Quantization for LLMs☆227Updated 10 months ago
- KV cache compression for high-throughput LLM inference☆145Updated 9 months ago
- Spec-Bench: A Comprehensive Benchmark and Unified Evaluation Platform for Speculative Decoding (ACL 2024 Findings)☆338Updated 7 months ago
- [NeurIPS 2024] The official implementation of "Kangaroo: Lossless Self-Speculative Decoding for Accelerating LLMs via Double Early Exitin…☆63Updated last year
- Reorder-based post-training quantization for large language model☆197Updated 2 years ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆166Updated last week
- ☆235Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆148Updated 3 months ago
- Applied AI experiments and examples for PyTorch☆307Updated 3 months ago
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆118Updated last year
- This repository contains integer operators on GPUs for PyTorch.☆223Updated 2 years ago