Alternatives and similar repositories for llm-baselines

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

• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆131Updated 10 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆168Updated 4 months ago
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆84Updated 11 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆233Updated last month
• berlino / seq_icl
  ☆53Updated last year
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆86Updated 3 years ago
• insuhan / hyper-attn
  ☆83Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆241Updated 4 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆69Updated last year
• jonhue / activeft
  PyTorch library for Active Fine-Tuning
  ☆93Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• shikaiqiu / compute-better-spent
  ☆58Updated last year
• mengxiayu / LLMSuperWeight
  Code for studying the super weight in LLM
  ☆120Updated 10 months ago
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆193Updated last year
• cloneofsimo / min-fsdp
  ☆91Updated last year
• 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…
  ☆52Updated 2 years ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆83Updated 10 months ago
• RobertCsordas / moeut
  ☆86Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆92Updated 3 months ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• LIONS-EPFL / scion
  ☆41Updated this week
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated 2 years ago
• srush / do-we-need-attention
  ☆166Updated 2 years ago
• srush / mamba-primer
  ☆38Updated last year
• google-deepmind / mishax
  ☆142Updated last month
• ckkissane / crosscoder-model-diff-replication
  Open source replication of Anthropic's Crosscoders for Model Diffing
  ☆59Updated 11 months ago
• wesg52 / universal-neurons
  Universal Neurons in GPT2 Language Models
  ☆30Updated last year
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆136Updated last year
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated 10 months ago