Fast Matrix Multiplications for Lookup Table-Quantized LLMs
☆394Apr 13, 2025Updated last year
Alternatives and similar repositories for flute
Users that are interested in flute are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆345Jul 2, 2024Updated 2 years ago
- Fast low-bit matmul kernels in Triton☆480Aug 3, 2026Updated last week
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,123Sep 4, 2024Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆770Aug 6, 2025Updated last year
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆176Nov 26, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆92Jan 23, 2025Updated last year
- Boosting 4-bit inference kernels with 2:4 Sparsity☆100Sep 4, 2024Updated last year
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆852Mar 6, 2025Updated last year
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆400Jul 10, 2025Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆530Nov 26, 2024Updated last year
- ☆605Oct 29, 2024Updated last year
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆281Jul 16, 2025Updated last year
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆159Aug 21, 2025Updated 11 months ago
- ☆127Mar 18, 2026Updated 4 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆682Updated this week
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆140May 16, 2024Updated 2 years ago
- ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization☆114Oct 15, 2024Updated last year
- Official implementation of Half-Quadratic Quantization (HQQ)☆953Feb 26, 2026Updated 5 months ago
- Fast Hadamard transform in CUDA, with a PyTorch interface☆343Mar 10, 2026Updated 5 months ago
- Quantized Attention on GPU☆45Nov 22, 2024Updated last year
- ☆65Apr 26, 2025Updated last year
- Work in progress.☆81Nov 25, 2025Updated 8 months ago
- ☆170Feb 15, 2025Updated last year
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆107Sep 9, 2024Updated last year
- [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads☆540Feb 10, 2025Updated last year
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆425Nov 20, 2025Updated 8 months ago
- ☆182Jun 22, 2025Updated last year
- FlexAttention w/ FlashAttention3 Support☆27Oct 5, 2024Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆796Aug 14, 2025Updated 11 months ago
- ☆20Sep 28, 2024Updated last year
- HALO: Hadamard-Assisted Low-Precision Optimization and Training method for finetuning LLMs. 🚀 The official implementation of https://arx…☆31Feb 17, 2025Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆724Aug 13, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Dynamic Memory Management for Serving LLMs without PagedAttention☆512Jul 17, 2026Updated 3 weeks ago
- [ACL 2025 Main] EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆345Apr 10, 2026Updated 4 months ago
- QuTLASS: CUTLASS-Powered Quantized BLAS for Deep Learning☆197Jul 20, 2026Updated 3 weeks ago
- Framework to reduce autotune overhead to zero for well known deployments.☆101Sep 19, 2025Updated 10 months ago
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- PyTorch native quantization and sparsity for training and inference☆2,933Updated this week
- Code implementation of GPTAQ (https://arxiv.org/abs/2504.02692)☆93Jul 28, 2025Updated last year