Alternatives and similar repositories for nm-vllm

Users that are interested in nm-vllm are comparing it to the libraries listed below

• neuralmagic / AutoFP8
  ☆193Updated 3 weeks ago
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆198Updated 3 months ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆117Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆303Updated last week
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆172Updated 2 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆355Updated 9 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆271Updated this week
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆299Updated 2 years ago
• huggingface / optimum-benchmark
  🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…
  ☆301Updated last week
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆814Updated 3 weeks ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆196Updated this week
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆831Updated 8 months ago
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆305Updated 11 months ago
• neuralmagic / guidellm
  Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
  ☆317Updated this week
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆275Updated last year
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆222Updated 10 months ago
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆129Updated 3 months ago
• apple / ml-recurrent-drafter
  ☆210Updated 4 months ago
• mit-han-lab / omniserve
  [MLSys'25] QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving; [MLSys'25] LServe: Efficient Long-sequence LLM Se…
  ☆686Updated 2 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆365Updated last year
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆251Updated 7 months ago
• Cornell-RelaxML / quip-sharp
  ☆534Updated 7 months ago
• triton-inference-server / vllm_backend
  ☆260Updated 2 weeks ago
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆390Updated 6 months ago
• mlc-ai / llm-perf-bench
  ☆119Updated last year
• anyscale / llm-continuous-batching-benchmarks
  ☆118Updated last year
• facebookresearch / SpinQuant
  Code repo for the paper "SpinQuant LLM quantization with learned rotations"
  ☆281Updated 3 months ago
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆211Updated 6 months ago
• jaymody / speculative-sampling
  Simple implementation of Speculative Sampling in NumPy for GPT-2.
  ☆95Updated last year
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆249Updated this week