Alternatives and similar repositories for optimum-benchmark

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

• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆265Updated 9 months ago
• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆198Updated last month
• neuralmagic / AutoFP8
  ☆195Updated 2 months ago
• huggingface / optimum-habana
  Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
  ☆191Updated this week
• intel / neural-speed
  An innovative library for efficient LLM inference via low-bit quantization
  ☆349Updated 11 months ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆303Updated 2 years ago
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆855Updated this week
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆868Updated 10 months ago
• triton-inference-server / vllm_backend
  ☆280Updated this week
• intel / auto-round
  Advanced Quantization Algorithm for LLMs and VLMs, with support for CPU, Intel GPU, CUDA and HPU. Seamlessly integrated with Torchao, Tra…
  ☆551Updated this week
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆437Updated 6 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆362Updated 11 months ago
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆376Updated last year
• npuichigo / openai_trtllm
  OpenAI compatible API for TensorRT LLM triton backend
  ☆209Updated last year
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆206Updated this week
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆697Updated 11 months ago
• NVIDIA / NeMo-Framework-Launcher
  Provides end-to-end model development pipelines for LLMs and Multimodal models that can be launched on-prem or cloud-native.
  ☆507Updated 3 months ago
• lapp0 / lm-inference-engines
  Comparison of Language Model Inference Engines
  ☆222Updated 7 months ago
• anyscale / llm-continuous-batching-benchmarks
  ☆120Updated last year
• wejoncy / QLLM
  A general 2-8 bits quantization toolbox with GPTQ/AWQ/HQQ/VPTQ, and export to onnx/onnx-runtime easily.
  ☆175Updated 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…
  ☆730Updated 4 months ago
• Cornell-RelaxML / quip-sharp
  ☆549Updated 9 months ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆141Updated this week
• huggingface / inference-benchmarker
  Inference server benchmarking tool
  ☆87Updated 3 months ago
• yuhuixu1993 / qa-lora
  Official PyTorch implementation of QA-LoRA
  ☆138Updated last year
• run-ai / llmperf
  ☆58Updated 10 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆338Updated this week
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆347Updated 8 months ago
• EmbeddedLLM / vllm
  vLLM: A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆87Updated this week
• vllm-project / guidellm
  Evaluate and Enhance Your LLM Deployments for Real-World Inference Needs
  ☆438Updated this week