An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
☆282Jul 16, 2025Updated 11 months ago
Alternatives and similar repositories for fp6_llm
Users that are interested in fp6_llm are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆20Sep 28, 2024Updated last year
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆1,086Sep 4, 2024Updated last year
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆765Aug 6, 2025Updated 10 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆844Mar 6, 2025Updated last year
- [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.☆138May 16, 2024Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- High-speed GEMV kernels, at most 2.7x speedup compared to pytorch baseline.☆129Jul 13, 2024Updated last year
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆514Nov 26, 2024Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆341Jul 2, 2024Updated last year
- Benchmark tests supporting the TiledCUDA library.☆19Nov 19, 2024Updated last year
- The official implementation of the EMNLP 2023 paper LLM-FP4☆224Dec 15, 2023Updated 2 years ago
- [ICML 2024] KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache☆408Nov 20, 2025Updated 6 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆390Apr 13, 2025Updated last year
- ☆66Apr 26, 2025Updated last year
- Fast low-bit matmul kernels in Triton☆471May 15, 2026Updated last month
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- QQQ is an innovative and hardware-optimized W4A8 quantization solution for LLMs.☆155Aug 21, 2025Updated 9 months ago
- Quantized Attention on GPU☆44Nov 22, 2024Updated last year
- ☆191May 7, 2025Updated last year
- 🤖FFPA: Extends FlashAttention-2 via Split-D for large headdims, 1.5x~3×↑🎉 vs SDPA, up to 430T🎉 on H200.☆308Updated this week
- A Easy-to-understand TensorOp Matmul Tutorial☆440Mar 5, 2026Updated 3 months ago
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆427Aug 13, 2024Updated last year
- An experimental communicating attention kernel based on DeepEP.☆34Jul 29, 2025Updated 10 months ago
- An algorithm for weight-activation quantization (W4A4, W4A8) of LLMs, supporting both static and dynamic quantization☆175Nov 26, 2025Updated 6 months ago
- We invite you to visit and follow our new repository at https://github.com/microsoft/TileFusion. TiledCUDA is a highly efficient kernel …☆194Jan 28, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ⚡️Write HGEMM from scratch using Tensor Cores with WMMA, MMA and CuTe API, Achieve Peak⚡️ Performance.☆156May 10, 2025Updated last year
- ☆173Mar 9, 2023Updated 3 years ago
- Distributed Compiler based on Triton for Parallel Systems☆1,459Apr 22, 2026Updated last month
- libsmctrl论文的复现,添加了python端接口,可以在python端灵活调用接口来分配计算资源☆12May 21, 2024Updated 2 years ago
- ☆267Jul 11, 2024Updated last year
- ☆595Oct 29, 2024Updated last year
- Microsoft Automatic Mixed Precision Library☆637Dec 1, 2025Updated 6 months ago
- FlashInfer: Kernel Library for LLM Serving☆5,791Updated this week
- ☆114Mar 12, 2026Updated 3 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,390Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆965Mar 29, 2026Updated 2 months ago
- [ICML 2024] Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference☆393Jul 10, 2025Updated 11 months ago
- [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding☆152Dec 4, 2024Updated last year
- Model Compression Toolbox for Large Language Models and Diffusion Models☆787Aug 14, 2025Updated 10 months ago
- ☆210May 5, 2025Updated last year
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆722Aug 13, 2024Updated last year