Alternatives and similar repositories for LayerSkip

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

• NVlabs / Minitron
  A family of compressed models obtained via pruning and knowledge distillation
  ☆352Updated 11 months ago
• FasterDecoding / BitDelta
  ☆202Updated 10 months ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆342Updated 10 months ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆202Updated last year
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆390Updated 3 months ago
• huggingface / picotron_tutorial
  ☆222Updated 3 weeks ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆202Updated 7 months ago
• cornstarch-org / Cornstarch
  ☆107Updated last month
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆288Updated 10 months ago
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆177Updated 6 months ago
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆120Updated 10 months ago
• hao-ai-lab / Consistency_LLM
  [ICML 2024] CLLMs: Consistency Large Language Models
  ☆405Updated 11 months ago
• NVlabs / hymba
  ☆201Updated 10 months ago
• hao-ai-lab / Dynasor
  [NeurIPS 2025] Simple extension on vLLM to help you speed up reasoning model without training.
  ☆197Updated 4 months ago
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆173Updated last year
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆162Updated 6 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆270Updated 3 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆296Updated 2 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆660Updated last week
• microsoft / TransformerCompression
  For releasing code related to compression methods for transformers, accompanying our publications
  ☆446Updated 9 months ago
• jeffreysijuntan / lloco
  The official repo for "LLoCo: Learning Long Contexts Offline"
  ☆117Updated last year
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆248Updated 8 months ago
• mit-han-lab / duo-attention
  [ICLR 2025] DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads
  ☆494Updated 8 months ago
• arcee-ai / PruneMe
  Automated Identification of Redundant Layer Blocks for Pruning in Large Language Models
  ☆249Updated last year
• snowflakedb / ArcticTraining
  ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
  ☆231Updated this week
• allenai / OLMo-core
  PyTorch building blocks for the OLMo ecosystem
  ☆307Updated this week
• eqimp / hogwild_llm
  Official PyTorch implementation for Hogwild! Inference: Parallel LLM Generation with a Concurrent Attention Cache
  ☆127Updated 2 months ago
• facebookresearch / RAM
  A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
  ☆295Updated this week
• arcee-ai / EvolKit
  EvolKit is an innovative framework designed to automatically enhance the complexity of instructions used for fine-tuning Large Language M…
  ☆240Updated 11 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆297Updated 2 months ago