Alternatives and similar repositories for schedules-and-scaling

Users that are interested in schedules-and-scaling are comparing it to the libraries listed below

• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆98Updated last year
• berlino / seq_icl
  ☆53Updated last year
• RobertCsordas / moeut
  ☆85Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 11 months ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆60Updated 2 months ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• katiekang1998 / reasoning_generalization
  ☆34Updated 8 months ago
• sustcsonglin / mamba-triton
  ☆49Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆89Updated 9 months ago
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• epfml / llm-baselines
  nanoGPT-like codebase for LLM training
  ☆105Updated 3 months ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆47Updated 6 months ago
• insuhan / hyper-attn
  ☆82Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆87Updated last month
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• gregorbachmann / Next-Token-Failures
  ☆99Updated last year
• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• kyo-takano / chinchilla
  A toolkit for scaling law research ⚖
  ☆51Updated 7 months ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated 11 months ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last year
• sjelassi / transformers_ssm_copy
  ☆33Updated last year
• JoshEngels / MultiDimensionalFeatures
  Code for reproducing our paper "Not All Language Model Features Are Linear"
  ☆77Updated 9 months ago
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆62Updated 4 months ago
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆157Updated 2 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆70Updated last year
• sail-sg / SkyLadder
  The official repository for SkyLadder: Better and Faster Pretraining via Context Window Scheduling
  ☆34Updated 2 weeks ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• mcleish7 / gemstone-scaling-laws
  ☆28Updated 7 months ago
• shikaiqiu / compute-better-spent
  ☆57Updated 11 months ago
• ahans30 / goldfish-loss
  [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs
  ☆92Updated 9 months ago