Alternatives and similar repositories for nanoMoE

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

• huggingface / picotron_tutorial
  ☆216Updated 7 months ago
• changjonathanc / flex-nano-vllm
  FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
  ☆269Updated last month
• allenai / OLMo-core
  PyTorch building blocks for the OLMo ecosystem
  ☆286Updated this week
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆334Updated 4 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆271Updated this week
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆193Updated 3 months ago
• rasbt / dora-from-scratch
  LoRA and DoRA from Scratch Implementations
  ☆211Updated last year
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆188Updated 9 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…
  ☆343Updated 9 months ago
• fangyuan-ksgk / Tiny-GRPO
  minimal GRPO implementation from scratch
  ☆96Updated 6 months ago
• NVlabs / hymba
  ☆196Updated 9 months ago
• hkproj / triton-flash-attention
  ☆199Updated 8 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…
  ☆265Updated last month
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆245Updated 7 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆157Updated 2 months ago
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆391Updated 2 months ago
• McGill-NLP / nano-aha-moment
  Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
  ☆524Updated 2 months ago
• jxmorris12 / cde
  code for training & evaluating Contextual Document Embedding models
  ☆197Updated 4 months ago
• shangshang-wang / Tina
  Tina: Tiny Reasoning Models via LoRA
  ☆281Updated last month
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆291Updated 3 weeks ago
• brendanhogan / DeepSeekRL-Extended
  Exploring Applications of GRPO
  ☆247Updated 2 weeks ago
• Pints-AI / 1.5-Pints
  A compact LLM pretrained in 9 days by using high quality data
  ☆323Updated 5 months ago
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆175Updated 5 months ago
• NVIDIA / NeMo-Skills
  A project to improve skills of large language models
  ☆553Updated this week
• marin-community / marin
  Open-source framework for the research and development of foundation models.
  ☆419Updated this week
• tokenbender / avataRL
  rl from zero pretrain, can it be done? yes.
  ☆265Updated 3 weeks ago
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆161Updated 5 months ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆181Updated 2 months ago
• snowflakedb / ArcticTraining
  ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
  ☆208Updated last week
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆200Updated last year