Alternatives and similar repositories for llm-baselines

Users that are interested in llm-baselines are comparing it to the libraries listed below

• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆186Updated 2 weeks ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆137Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆88Updated last year
• berlino / seq_icl
  ☆53Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆252Updated 3 weeks ago
• cloneofsimo / min-fsdp
  ☆92Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆99Updated last year
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• srush / do-we-need-attention
  ☆167Updated 2 years ago
• shikaiqiu / compute-better-spent
  ☆62Updated last year
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆96Updated 4 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆247Updated 8 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆84Updated last year
• LIONS-EPFL / scion
  ☆52Updated last month
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆120Updated last year
• srush / mamba-primer
  ☆39Updated last year
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆198Updated last year
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• lucidrains / pause-transformer
  Yet another random morning idea to be quickly tried and architecture shared if it works; to allow the transformer to pause for any amount…
  ☆53Updated 2 years ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆75Updated last year
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 6 months ago
• erfanzar / jax-flash-attn2
  A flexible and efficient implementation of Flash Attention 2.0 for JAX, supporting multiple backends (GPU/TPU/CPU) and platforms (Triton/…
  ☆34Updated 11 months ago
• yixiaoer / tpux
  A set of Python scripts that makes your experience on TPU better
  ☆56Updated 4 months ago
• martin-marek / batch-size
  📄Small Batch Size Training for Language Models
  ☆80Updated 4 months ago
• ckkissane / crosscoder-model-diff-replication
  Open source replication of Anthropic's Crosscoders for Model Diffing
  ☆63Updated last year
• kyo-takano / chinchilla
  A toolkit for scaling law research ⚖
  ☆55Updated last year