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) and EAGLE-2 (EMNLP'24)
  ☆968Updated this week
• princeton-nlp / LLM-Shearing
  [ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning
  ☆584Updated 11 months ago
• punica-ai / punica
  Serving multiple LoRA finetuned LLM as one
  ☆1,028Updated 9 months ago
• FasterDecoding / Medusa
  Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads
  ☆2,426Updated 7 months ago
• SqueezeAILab / SqueezeLLM
  [ICML 2024] SqueezeLLM: Dense-and-Sparse Quantization
  ☆676Updated 6 months ago
• jquesnelle / yarn
  YaRN: Efficient Context Window Extension of Large Language Models
  ☆1,421Updated 10 months ago
• IST-DASLab / gptq
  Code for the ICLR 2023 paper "GPTQ: Accurate Post-training Quantization of Generative Pretrained Transformers".
  ☆2,031Updated 10 months ago
• IST-DASLab / marlin
  FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.
  ☆729Updated 5 months ago
• epfLLM / Megatron-LLM
  distributed trainer for LLMs
  ☆557Updated 9 months ago
• haoliuhl / ringattention
  Large Context Attention
  ☆682Updated 3 weeks ago
• feifeibear / LLMSpeculativeSampling
  Fast inference from large lauguage models via speculative decoding
  ☆657Updated 5 months ago
• jzhang38 / EasyContext
  Memory optimization and training recipes to extrapolate language models' context length to 1 million tokens, with minimal hardware.
  ☆701Updated 4 months ago
• OpenGVLab / OmniQuant
  [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.
  ☆767Updated 4 months ago
• huggingface / nanotron
  Minimalistic large language model 3D-parallelism training
  ☆1,483Updated this week
• S-LoRA / S-LoRA
  S-LoRA: Serving Thousands of Concurrent LoRA Adapters
  ☆1,790Updated last year
• Vahe1994 / SpQR
  ☆539Updated 2 months ago
• locuslab / wanda
  A simple and effective LLM pruning approach.
  ☆712Updated 6 months ago
• IST-DASLab / sparsegpt
  Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".
  ☆767Updated 6 months ago
• deepspeedai / DeepSpeed-MII
  MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
  ☆1,965Updated last week
• horseee / LLM-Pruner
  [NeurIPS 2023] LLM-Pruner: On the Structural Pruning of Large Language Models. Support Llama-3/3.1, Llama-2, LLaMA, BLOOM, Vicuna, Baich…
  ☆953Updated 4 months ago
• casper-hansen / AutoAWQ
  AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:
  ☆1,946Updated last month
• princeton-nlp / MeZO
  [NeurIPS 2023] MeZO: Fine-Tuning Language Models with Just Forward Passes. https://arxiv.org/abs/2305.17333
  ☆1,083Updated last year
• Cornell-RelaxML / quip-sharp
  ☆524Updated 3 months ago
• mit-han-lab / smoothquant
  [ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models
  ☆1,339Updated 7 months ago
• flashinfer-ai / flashinfer
  FlashInfer: Kernel Library for LLM Serving
  ☆2,078Updated this week
• Azure / MS-AMP
  Microsoft Automatic Mixed Precision Library
  ☆567Updated 4 months ago
• zhuzilin / ring-flash-attention
  Ring attention implementation with flash attention
  ☆674Updated 2 months ago
• tomaarsen / attention_sinks
  Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
  ☆687Updated 10 months ago
• efeslab / Nanoflow
  A throughput-oriented high-performance serving framework for LLMs
  ☆737Updated 5 months ago
• BlackSamorez / tensor_parallel
  Automatically split your PyTorch models on multiple GPUs for training & inference
  ☆649Updated last year