neuralmagic / nm-vllm
A high-throughput and memory-efficient inference and serving engine for LLMs
☆262Updated 5 months ago
Alternatives and similar repositories for nm-vllm:
Users that are interested in nm-vllm are comparing it to the libraries listed below
- ☆180Updated 5 months ago
- [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…☆611Updated 2 weeks ago
- [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving☆298Updated 8 months ago
- Fast Matrix Multiplications for Lookup Table-Quantized LLMs☆232Updated last month
- FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.☆771Updated 6 months ago
- Fast low-bit matmul kernels in Triton☆267Updated this week
- Applied AI experiments and examples for PyTorch☆249Updated this week
- [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization☆336Updated 7 months ago
- Easy and Efficient Quantization for Transformers☆193Updated last month
- A safetensors extension to efficiently store sparse quantized tensors on disk☆91Updated this week
- A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.☆163Updated 2 weeks ago
- An innovative library for efficient LLM inference via low-bit quantization☆351Updated 6 months ago
- Advanced Quantization Algorithm for LLMs/VLMs.☆394Updated this week
- LLM KV cache compression made easy☆440Updated this week
- Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".☆271Updated last year
- Comparison of Language Model Inference Engines☆208Updated 3 months ago
- A throughput-oriented high-performance serving framework for LLMs☆773Updated 6 months ago
- Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs☆224Updated this week
- Efficient LLM Inference over Long Sequences☆365Updated last month
- ☆203Updated last month
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆189Updated this week
- ☆237Updated last week
- Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.☆361Updated 3 months ago
- vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs☆87Updated this week
- KV cache compression for high-throughput LLM inference☆117Updated last month
- QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference☆116Updated last year
- For releasing code related to compression methods for transformers, accompanying our publications☆416Updated 2 months ago
- An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).☆239Updated 4 months ago
- Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"☆362Updated last year
- ☆116Updated 11 months ago