microsoft / T-MAC
Low-bit LLM inference on CPU with lookup table
☆646Updated last week
Alternatives and similar repositories for T-MAC:
Users that are interested in T-MAC are comparing it to the libraries listed below
- BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.☆496Updated this week
- [NeurIPS'24 Spotlight] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which reduces in…☆874Updated 2 weeks ago
- A Flexible Framework for Experiencing Cutting-edge LLM Inference Optimizations☆832Updated 2 months ago
- QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving☆481Updated 2 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆680Updated 4 months ago
- DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …☆208Updated this week
- Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…☆373Updated 4 months ago
- FlashInfer: Kernel Library for LLM Serving☆1,797Updated this week
- VPTQ, A Flexible and Extreme low-bit quantization algorithm☆561Updated this week
- FlagGems is an operator library for large language models implemented in Triton Language.☆397Updated this week
- [EMNLP 2024 Industry Track] This is the official PyTorch implementation of "LLMC: Benchmarking Large Language Model Quantization with a V…☆382Updated this week
- A throughput-oriented high-performance serving framework for LLMs☆692Updated 3 months ago
- Production ready LLM model compression/quantization toolkit with accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.☆203Updated this week
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆467Updated 10 months ago
- ☆392Updated this week
- Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).☆236Updated 10 months ago
- RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.☆582Updated 3 months ago
- llm-export can export llm model to onnx.☆255Updated last week
- LLM Inference benchmark☆377Updated 5 months ago
- EfficientQAT: Efficient Quantization-Aware Training for Large Language Models☆237Updated 3 months ago
- Transformers-compatible library for applying various compression algorithms to LLMs for optimized deployment with vLLM☆851Updated this week
- LLaMa/RWKV onnx models, quantization and testcase☆356Updated last year
- [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.☆754Updated 3 months ago
- C++ implementation of Qwen-LM☆569Updated last month
- Efficient AI Inference & Serving☆462Updated last year
- a lightweight LLM model inference framework☆712Updated 9 months ago
- Advanced Quantization Algorithm for LLMs/VLMs.☆344Updated this week
- Dynamic Memory Management for Serving LLMs without PagedAttention☆272Updated last month
- Efficient, Flexible and Portable Structured Generation☆570Updated this week
- Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.☆2,372Updated this week