microsoft / T-MACLinks
Low-bit LLM inference on CPU/NPU with lookup table
☆852Updated 3 months ago
Alternatives and similar repositories for T-MAC
Users that are interested in T-MAC are comparing it to the libraries listed below
Sorting:
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆753Updated 6 months ago
- ☆428Updated 3 weeks ago
- LLM model quantization (compression) toolkit with hw acceleration support for Nvidia CUDA, AMD ROCm, Intel XPU and Intel/AMD/Apple CPU vi…☆778Updated this week
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆673Updated last month
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆895Updated last year
- A powerful toolkit for compressing large models including LLM, VLM, and video generation models.☆559Updated 3 weeks ago
- A throughput-oriented high-performance serving framework for LLMs☆887Updated last month
- Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU.☆614Updated last week
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆547Updated last year
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆655Updated 4 months ago
- [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…☆1,124Updated last month
- A fast communication-overlapping library for tensor/expert parallelism on GPUs.☆1,114Updated 2 weeks ago
- FlashInfer: Kernel Library for LLM Serving☆3,723Updated this week
- Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels☆1,608Updated last week
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆847Updated 3 months ago
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆851Updated this week
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆264Updated last month
- FlagGems is an operator library for large language models implemented in the Triton Language.☆673Updated this week
- Disaggregated serving system for Large Language Models (LLMs).☆687Updated 5 months ago
- Fast, Flexible and Portable Structured Generation☆1,233Updated this week
- Mirage Persistent Kernel: Compiling LLMs into a MegaKernel☆1,773Updated last week
- A high-performance inference system for large language models, designed for production environments.☆465Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆414Updated 3 months ago
- [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models☆1,496Updated last year
- [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration☆3,246Updated 2 months ago
- ☆497Updated this week
- Materials for learning SGLang☆572Updated 2 weeks ago
- Distributed Compiler based on Triton for Parallel Systems☆1,107Updated this week
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆1,950Updated this week
- llm-export can export llm model to onnx.☆308Updated 2 weeks ago