Alternatives and similar repositories for vllm-router

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

• zhaochenyang20 / ModelServer
  Efficient, Flexible, and Highly Fault-Tolerant Model Service Management Based on SGLang
  ☆61Updated last year
• bentoml / llm-bench
  ☆56Updated last year
• neuralmagic / AutoFP8
  ☆205Updated 7 months ago
• inferflow / inferflow
  Inferflow is an efficient and highly configurable inference engine for large language models (LLMs).
  ☆249Updated last year
• vllm-project / speculators
  A unified library for building, evaluating, and storing speculative decoding algorithms for LLM inference in vLLM
  ☆140Updated this week
• OpenBMB / CPM.cu
  CPM.cu is a lightweight, high-performance CUDA implementation for LLMs, optimized for end-device inference and featuring cutting-edge tec…
  ☆206Updated last month
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆203Updated 5 months ago
• vllm-project / dashboard
  vLLM performance dashboard
  ☆38Updated last year
• InternLM / turbomind
  ☆97Updated 8 months ago
• vllm-project / recipes
  Common recipes to run vLLM
  ☆256Updated this week
• asprenger / ray_vllm_inference
  A simple service that integrates vLLM with Ray Serve for fast and scalable LLM serving.
  ☆78Updated last year
• triton-inference-server / vllm_backend
  ☆317Updated last week
• anyscale / llm-continuous-batching-benchmarks
  ☆122Updated last year
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆183Updated 8 months ago
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆145Updated 10 months ago
• fw-ai / benchmark
  Benchmark suite for LLMs from Fireworks.ai
  ☆84Updated last week
• SkyworkAI / Skywork-MoE
  Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language Models
  ☆137Updated last year
• microsoft / batch-inference
  Dynamic batching library for Deep Learning inference. Tutorials for LLM, GPT scenarios.
  ☆106Updated last year
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆267Updated last year
• npuichigo / openai_trtllm
  OpenAI compatible API for TensorRT LLM triton backend
  ☆218Updated last year
• Tencent / AngelSlim
  Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
  ☆212Updated last week
• snowflakedb / ArcticInference
  ArcticInference: vLLM plugin for high-throughput, low-latency inference
  ☆327Updated this week
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆132Updated last year
• sgl-project / genai-bench
  Genai-bench is a powerful benchmark tool designed for comprehensive token-level performance evaluation of large language model (LLM) serv…
  ☆234Updated last week
• modelscope / dash-infer
  DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including …
  ☆267Updated 3 months ago
• project-etalon / etalon
  LLM Serving Performance Evaluation Harness
  ☆81Updated 9 months ago
• intel / llm-on-ray
  Pretrain, finetune and serve LLMs on Intel platforms with Ray
  ☆130Updated 2 months ago
• casper-hansen / AutoAWQ_kernels
  ☆78Updated last year
• yale-sys / prompt-cache
  Modular and structured prompt caching for low-latency LLM inference
  ☆103Updated last year
• Adlik / smoothquantplus
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆23Updated last year