Alternatives and similar repositories for chinchilla

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

• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆76Updated last year
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆57Updated last month
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆97Updated last year
• sustcsonglin / mamba-triton
  ☆48Updated 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 10 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 …
  ☆59Updated 8 months ago
• berlino / seq_icl
  ☆53Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆74Updated 7 months ago
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• HazyResearch / prefix-linear-attention
  ☆55Updated 11 months ago
• allenai / bff
  ☆38Updated last year
• bbartoldson / TBA
  Official implementation of TBA for async LLM post-training.
  ☆15Updated last week
• davidbrandfonbrener / color-filter-olmo
  ☆13Updated last month
• kyleliang919 / Online-Subspace-Descent
  This repo is based on https://github.com/jiaweizzhao/GaLore
  ☆28Updated 9 months ago
• allenai / easy-to-hard-generalization
  Code for the arXiv preprint "The Unreasonable Effectiveness of Easy Training Data"
  ☆48Updated last year
• cloneofsimo / min-fsdp
  ☆78Updated 11 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆69Updated this week
• ars22 / scaling-LLM-math-synthetic-data
  Code and data used in the paper: "Training on Incorrect Synthetic Data via RL Scales LLM Math Reasoning Eight-Fold"
  ☆30Updated last year
• Zyphra / Zyda_processing
  ☆35Updated last year
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆70Updated last year
• srush / mamba-primer
  ☆37Updated last year
• srush / LLM-Talk
  ☆51Updated last year
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• abhishekpanigrahi1996 / transformer_in_transformer
  ☆45Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆43Updated 9 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆57Updated 3 months ago
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆35Updated 7 months ago
• Infini-AI-Lab / gsm_infinite
  ☆47Updated last week
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆70Updated last week
• facebookresearch / iGSM
  The code for creating the iGSM datasets in papers "Physics of Language Models Part 2.1, Grade-School Math and the Hidden Reasoning Proces…
  ☆54Updated 5 months ago