Alternatives and similar repositories for LookaheadDecoding:

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

• SafeAILab / EAGLE
  Official Implementation of EAGLE-1 (ICML'24), EAGLE-2 (EMNLP'24), and EAGLE-3.
  ☆1,169Updated this week
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,052Updated 11 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆715Updated 6 months ago
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆600Updated last year
• haoliuhl / ringattention
  Large Context Attention
  ☆700Updated 2 months ago
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆1,786Updated this week
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆735Updated 8 months ago
• FasterDecoding / Medusa
  Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
  ☆2,494Updated 9 months ago
• microsoft / MInference
  [NeurIPS'24 Spotlight, ICLR'25] To speed up Long-context LLMs' inference, approximate and dynamic sparse calculate the attention, which r…
  ☆969Updated last week
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆797Updated 7 months ago
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,463Updated last year
• S-LoRA / S-LoRA
  S-LoRA: Serving Thousands of Concurrent LoRA Adapters
  ☆1,816Updated last year
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,387Updated 9 months ago
• IST-DASLab / gptq
  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
  ☆2,077Updated last year
• NVIDIA / NeMo-Aligner
  Scalable toolkit for efficient model alignment
  ☆761Updated this week
• apoorvumang / prompt-lookup-decoding
  ☆526Updated 7 months ago
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆734Updated last week
• XueFuzhao / OpenMoE
  A family of open-sourced Mixture-of-Experts (MoE) Large Language Models
  ☆1,508Updated last year
• feifeibear / LLMSpeculativeSampling
  Fast inference from large lauguage models via speculative decoding
  ☆707Updated 7 months ago
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆685Updated 8 months ago
• mit-han-lab / llm-awq
  [MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
  ☆2,922Updated this week
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆591Updated 6 months ago
• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆781Updated 7 months ago
• casper-hansen / AutoAWQ
  AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
  ☆2,092Updated last week
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆794Updated 6 months ago
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,099Updated last year
• deepspeedai / DeepSpeed-MII
  MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
  ☆2,002Updated 3 weeks ago
• Cornell-RelaxML / quip-sharp
  ☆530Updated 5 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…
  ☆635Updated last month
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆693Updated last year