Alternatives and similar repositories for picotron_tutorial:

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

• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆244Updated this week
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆322Updated 4 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆138Updated last month
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆180Updated last week
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆406Updated 2 months ago
• allenai / OLMo-core
  PyTorch building blocks for the OLMo ecosystem
  ☆205Updated this week
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆291Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆132Updated 6 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆105Updated this week
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆471Updated this week
• sail-sg / oat
  🌾 OAT: A research-friendly framework for LLM online alignment, including preference learning, reinforcement learning, etc.
  ☆336Updated 2 weeks ago
• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆247Updated this week
• gpu-mode / profiling-cuda-in-torch
  ☆155Updated last year
• NVIDIA / NeMo-Skills
  A project to improve skills of large language models
  ☆354Updated this week
• snowflakedb / ArcticTraining
  ArcticTraining is a framework designed to simplify and accelerate the post-training process for large language models (LLMs)
  ☆71Updated this week
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆231Updated 3 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆536Updated this week
• XunhaoLai / native-sparse-attention-triton
  Efficient triton implementation of Native Sparse Attention.
  ☆142Updated 3 weeks ago
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆212Updated 5 months ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆174Updated 5 months ago
• llm-random / llm-random
  ☆186Updated this week
• cloneofsimo / min-fsdp
  ☆78Updated 10 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆115Updated last week
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆130Updated 8 months ago
• PrimeIntellect-ai / prime-rl
  prime-rl is a codebase for decentralized RL training at scale
  ☆85Updated this week
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆126Updated 5 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆232Updated 2 months ago
• ServiceNow / PipelineRL
  A scalable asynchronous reinforcement learning implementation with in-flight weight updates.
  ☆94Updated this week
• fangyuan-ksgk / Tiny-GRPO
  minimal GRPO implementation from scratch
  ☆87Updated last month
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆261Updated 4 months ago