Alternatives and similar repositories for ml-recurrent-drafter:

Users that are interested in ml-recurrent-drafter are comparing it to the libraries listed below

• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆267Updated this week
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆249Updated this week
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆232Updated 3 weeks ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆232Updated 2 weeks ago
• IsaacRe / vllm-kvcompress
  KV cache compression for high-throughput LLM inference
  ☆117Updated last month
• ScalingIntelligence / KernelBench
  KernelBench: Can LLMs Write GPU Kernels? - Benchmark with Torch -> CUDA problems
  ☆234Updated this week
• SqueezeAILab / KVQuant
  [NeurIPS 2024] KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
  ☆336Updated 7 months ago
• neuralmagic / nm-vllm
  A high-throughput and memory-efficient inference and serving engine for LLMs
  ☆262Updated 5 months ago
• Infini-AI-Lab / Sequoia
  scalable and robust tree-based speculative decoding algorithm
  ☆339Updated last month
• pytorch / torchft
  PyTorch per step fault tolerance (actively under development)
  ☆266Updated this week
• 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
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆271Updated last year
• efeslab / Atom
  [MLSys'24] Atom: Low-bit Quantization for Efficient and Accurate LLM Serving
  ☆298Updated 8 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆127Updated 5 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆440Updated this week
• intel / auto-round
  Advanced Quantization Algorithm for LLMs/VLMs.
  ☆394Updated this week
• Infini-AI-Lab / MagicDec
  [ICLR2025] Breaking Throughput-Latency Trade-off for Long Sequences with Speculative Decoding
  ☆109Updated 3 months ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆204Updated 2 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…
  ☆611Updated 2 weeks ago
• hao-ai-lab / Consistency_LLM
  [ICML 2024] CLLMs: Consistency Large Language Models
  ☆386Updated 4 months ago
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆201Updated 4 months ago
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆365Updated last month
• IST-DASLab / QUIK
  Repository for the QUIK project, enabling the use of 4bit kernels for generative inference - EMNLP 2024
  ☆177Updated 11 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆191Updated this week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆222Updated 7 months ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆207Updated 3 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆122Updated 7 months ago
• usyd-fsalab / fp6_llm
  An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
  ☆239Updated 4 months ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆114Updated last month
• cchan / tccl
  extensible collectives library in triton
  ☆84Updated 6 months ago