Alternatives and similar repositories for scaling

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

• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆85Updated last year
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆90Updated 11 months ago
• MadryLab / DsDm
  ☆51Updated last year
• JacobPfau / fillerTokens
  ☆75Updated last year
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆78Updated last year
• hadasah / btm
  ☆76Updated last year
• McGill-NLP / length-generalization
  Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023
  ☆137Updated last year
• berlino / seq_icl
  ☆53Updated last year
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• 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 last year
• gregorbachmann / Next-Token-Failures
  ☆103Updated last year
• ryoungj / ObsScaling
  [NeurIPS'24 Spotlight] Observational Scaling Laws
  ☆58Updated last year
• kyo-takano / chinchilla
  A toolkit for scaling law research ⚖
  ☆53Updated 9 months ago
• hkust-nlp / llm-compression-intelligence
  Official github repo for the paper "Compression Represents Intelligence Linearly" [COLM 2024]
  ☆143Updated last year
• ScalingIntelligence / large_language_monkeys
  ☆108Updated last year
• CodeCreator / WebOrganizer
  Organize the Web: Constructing Domains Enhances Pre-Training Data Curation
  ☆68Updated 6 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
• hamishivi / EasyLM
  Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Fl…
  ☆75Updated last year
• IBM / SALMON
  Self-Alignment with Principle-Following Reward Models
  ☆169Updated last month
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆62Updated last year
• protagolabs / odyssey-math
  ☆83Updated 9 months ago
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆64Updated 6 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆67Updated 8 months ago
• lmarena / PPE
  ☆57Updated 6 months ago
• RobertCsordas / moeut
  ☆87Updated last year
• HazyResearch / skill-it
  Skill-It! A Data-Driven Skills Framework for Understanding and Training Language Models
  ☆47Updated 2 years ago
• katiekang1998 / reasoning_generalization
  ☆33Updated 10 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆86Updated 3 years ago
• hamishivi / automated-instruction-selection
  Exploration of automated dataset selection approaches at large scales.
  ☆48Updated 8 months ago