Alternatives and similar repositories for optimum-benchmark:

Users that are interested in optimum-benchmark are comparing it to the libraries listed below

• huggingface / optimum-habana
  Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
  ☆177Updated this week
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆193Updated last month
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆771Updated 6 months ago
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆262Updated 5 months ago
• intel / auto-round
  Advanced Quantization Algorithm for LLMs/VLMs.
  ☆394Updated this week
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆298Updated last year
• neuralmagic / AutoFP8
  ☆180Updated 5 months ago
• intel / neural-speed
  An innovative library for efficient LLM inference via low-bit quantization
  ☆351Updated 6 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆336Updated 7 months ago
• lapp0 / lm-inference-engines
  Comparison of Language Model Inference Engines
  ☆208Updated 3 months ago
• triton-inference-server / vllm_backend
  ☆237Updated last week
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆765Updated this week
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆680Updated 7 months ago
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆163Updated 2 weeks ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆362Updated last year
• 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…
  ☆611Updated 2 weeks ago
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆416Updated 2 months ago
• huggingface / llm-swarm
  Manage scalable open LLM inference endpoints in Slurm clusters
  ☆253Updated 8 months ago
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆773Updated 6 months ago
• hamelsmu / llama-inference
  experiments with inference on llama
  ☆104Updated 9 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆249Updated this week
• npuichigo / openai_trtllm
  OpenAI compatible API for TensorRT LLM triton backend
  ☆201Updated 7 months ago
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆189Updated this week
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆298Updated 8 months ago
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆271Updated last year
• Vahe1994 / SpQR
  ☆541Updated 3 months ago
• premAI-io / benchmarks
  🕹️ Performance Comparison of MLOps Engines, Frameworks, and Languages on Mainstream AI Models.
  ☆136Updated 7 months ago
• huggingface / optimum-quanto
  A pytorch quantization backend for optimum
  ☆900Updated 2 weeks ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆267Updated this week
• HabanaAI / vllm-fork
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆59Updated this week