neuralmagic / nm-vllmLinks
A high-throughput and memory-efficient inference and serving engine for LLMs
☆264Updated 8 months ago
Alternatives and similar repositories for nm-vllm
Users that are interested in nm-vllm are comparing it to the libraries listed below
Sorting:
- Easy and Efficient Quantization for Transformers☆199Updated 4 months ago
- A safetensors extension to efficiently store sparse quantized tensors on disk☆126Updated this week
- ☆194Updated last month
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆358Updated 10 months ago
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆845Updated 9 months ago
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆277Updated last year
- Fast low-bit matmul kernels in Triton☆322Updated this week
- Applied AI experiments and examples for PyTorch☆277Updated 3 weeks ago
- ☆212Updated 4 months ago
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆172Updated 2 months ago
- Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs☆348Updated this week
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆371Updated last year
- Inference server benchmarking tool☆73Updated last month
- An innovative library for efficient LLM inference via low-bit quantization☆349Updated 9 months ago
- GPTQ inference Triton kernel☆302Updated 2 years ago
- A throughput-oriented high-performance serving framework for LLMs☆825Updated 2 weeks ago
- 🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…☆304Updated 3 weeks ago
- ☆541Updated 7 months ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆204Updated this week
- ☆155Updated this week
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆705Updated 3 months ago
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆395Updated 6 months ago
- Google TPU optimizations for transformers models☆113Updated 5 months ago
- scalable and robust tree-based speculative decoding algorithm☆348Updated 4 months ago
- ☆267Updated last week
- 🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…☆253Updated this week
- experiments with inference on llama☆104Updated last year
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆310Updated 11 months ago
- This repository contains the experimental PyTorch native float8 training UX☆224Updated 10 months ago
- [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization☆692Updated 10 months ago