Alternatives and similar repositories for lm-inference-engines

Users that are interested in lm-inference-engines are comparing it to the libraries listed below

• npuichigo / openai_trtllm
  OpenAI compatible API for TensorRT LLM triton backend
  ☆214Updated last year
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆266Updated 11 months ago
• triton-inference-server / vllm_backend
  ☆294Updated last month
• intel / neural-speed
  An innovative library for efficient LLM inference via low-bit quantization
  ☆348Updated last year
• vectorch-ai / ScaleLLM
  A high-performance inference system for large language models, designed for production environments.
  ☆464Updated last month
• huggingface / optimum-benchmark
  🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…
  ☆315Updated this week
• apoorvumang / prompt-lookup-decoding
  ☆565Updated last year
• huggingface / inference-benchmarker
  Inference server benchmarking tool
  ☆98Updated 4 months ago
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆203Updated 2 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆895Updated last year
• mlc-ai / llm-perf-bench
  ☆120Updated last year
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,086Updated last year
• ray-project / llmperf-leaderboard
  ☆467Updated last year
• mani-kantap / llm-inference-solutions
  A collection of all available inference solutions for the LLMs
  ☆91Updated 6 months ago
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆357Updated 7 months ago
• neuralmagic / AutoFP8
  ☆197Updated 4 months ago
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆177Updated 5 months ago
• Dan-wanna-M / formatron
  Formatron empowers everyone to control the format of language models' output with minimal overhead.
  ☆223Updated 3 months ago
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆887Updated last month
• Cornell-RelaxML / quip-sharp
  ☆555Updated 10 months ago
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆879Updated last week
• fw-ai / benchmark
  Benchmark suite for LLMs from Fireworks.ai
  ☆83Updated last week
• vllm-project / guidellm
  Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
  ☆566Updated this week
• EmbeddedLLM / vllm
  vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆89Updated this week
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆307Updated 2 years ago
• microsoft / VPTQ
  VPTQ, A Flexible and Extreme low-bit quantization algorithm
  ☆653Updated 4 months ago
• premAI-io / benchmarks
  🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.
  ☆137Updated last year
• jondurbin / bagel
  A bagel, with everything.
  ☆324Updated last year
• intel / auto-round
  Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU.
  ☆614Updated this week
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆249Updated last year