Alternatives and similar repositories for marlin

Users that are interested in marlin are comparing it to the libraries listed below

• 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…
  ☆735Updated 5 months ago
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆872Updated 2 weeks ago
• microsoft / BitBLAS
  BitBLAS is a library to support mixed-precision matrix multiplications, especially for quantized LLM deployment.
  ☆660Updated 2 weeks ago
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆616Updated 10 months ago
• microsoft / vattention
  Dynamic Memory Management for Serving LLMs without PagedAttention
  ☆408Updated 2 months ago
• mobiusml / hqq
  Official implementation of Half-Quadratic Quantization (HQQ)
  ☆864Updated last week
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,083Updated last year
• spcl / QuaRot
  Code for Neurips24 paper: QuaRot, an end-to-end 4-bit inference of large language models.
  ☆414Updated 8 months ago
• neuralmagic / AutoFP8
  ☆195Updated 3 months ago
• Cornell-RelaxML / quip-sharp
  ☆552Updated 9 months ago
• fpgaminer / GPTQ-triton
  GPTQ inference Triton kernel
  ☆306Updated 2 years ago
• cli99 / llm-analysis
  Latency and Memory Analysis of Transformer Models for Training and Inference
  ☆446Updated 4 months ago
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,479Updated last year
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆703Updated last year
• hao-ai-lab / LookaheadDecoding
  [ICML 2024] Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
  ☆1,272Updated 5 months ago
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆372Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆319Updated last year
• FMInference / DejaVu
  ☆332Updated last year
• sgl-project / sgl-learning-materials
  Materials for learning SGLang
  ☆530Updated last month
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆349Updated last week
• microsoft / sarathi-serve
  A low-latency & high-throughput serving engine for LLMs
  ☆405Updated 2 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆586Updated this week
• hahnyuan / LLM-Viewer
  Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline mod…
  ☆537Updated 11 months ago
• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
  ☆1,490Updated this week
• perplexityai / pplx-kernels
  Perplexity GPU Kernels
  ☆444Updated 2 weeks ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆839Updated 3 months ago
• microsoft / MInference
  [NeurIPS'24 Spotlight, ICLR'25, ICML'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention…
  ☆1,105Updated 2 weeks ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆261Updated last month
• ModelCloud / GPTQModel
  Production ready LLM model compression/quantization toolkit with hw accelerated inference support for both cpu/gpu via HF, vLLM, and SGLa…
  ☆742Updated this week
• LLMServe / DistServe
  Disaggregated serving system for Large Language Models (LLMs).
  ☆669Updated 4 months ago