Alternatives and similar repositories for nm-vllm

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

• NetEase-FuXi / EETQ
  Easy and Efficient Quantization for Transformers
  ☆198Updated last month
• huggingface / optimum-benchmark
  🏋️ A unified multi-backend utility for benchmarking Transformers, Timm, PEFT, Diffusers and Sentence-Transformers with full support of O…
  ☆307Updated 2 months ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆141Updated this week
• neuralmagic / AutoFP8
  ☆195Updated 2 months ago
• intel / neural-speed
  An innovative library for efficient LLM inference via low-bit quantization
  ☆349Updated 11 months ago
• 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
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• apple / ml-recurrent-drafter
  ☆214Updated 6 months ago
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆154Updated 9 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆362Updated 11 months ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆303Updated 2 years ago
• fw-ai / benchmark
  Benchmark suite for LLMs from Fireworks.ai
  ☆76Updated 3 weeks ago
• triton-inference-server / vllm_backend
  ☆280Updated this week
• Cornell-RelaxML / QuIP
  Code for paper: "QuIP: 2-Bit Quantization of Large Language Models With Guarantees"
  ☆376Updated last year
• huggingface / kernels
  Load compute kernels from the Hub
  ☆214Updated last week
• 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
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆437Updated 6 months ago
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆243Updated last year
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆134Updated 5 months ago
• 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
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆338Updated this week
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆351Updated 6 months ago
• lapp0 / lm-inference-engines
  Comparison of Language Model Inference Engines
  ☆222Updated 7 months ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆198Updated 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
• dust-tt / llama-ssp
  Experiments on speculative sampling with Llama models
  ☆128Updated 2 years ago
• Cornell-RelaxML / quip-sharp
  ☆549Updated 9 months ago
• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆347Updated 8 months ago
• snowflakedb / ArcticTraining
  ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
  ☆190Updated this week