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)
  ☆78Updated last year
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆77Updated 9 months ago
• berlino / seq_icl
  ☆53Updated last year
• sustcsonglin / mamba-triton
  ☆49Updated last year
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆97Updated last year
• HazyResearch / prefix-linear-attention
  ☆56Updated last year
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆71Updated last year
• amirzandieh / HyperAttention
  Triton Implementation of HyperAttention Algorithm
  ☆48Updated last year
• mgmalek / efficient_cross_entropy
  ☆114Updated last year
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆70Updated last year
• mnoukhov / async_rlhf
  Code and Configs for Asynchronous RLHF: Faster and More Efficient RL for Language Models
  ☆59Updated 3 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 …
  ☆61Updated 9 months ago
• epfml / dynamic-sparse-flash-attention
  ☆147Updated 2 years ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 10 months ago
• Doraemonzzz / Awesome-Triton-Resources
  Awesome Triton Resources
  ☆32Updated 3 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆238Updated last month
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆82Updated 2 weeks ago
• srush / mamba-primer
  ☆37Updated 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 11 months ago
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆127Updated 8 months ago
• microsoft / SparseMixer
  Sparse Backpropagation for Mixture-of-Expert Training
  ☆30Updated last year
• RobertCsordas / moeut
  ☆83Updated 11 months ago
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆221Updated 3 weeks ago
• gregorbachmann / Next-Token-Failures
  ☆88Updated last year
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆58Updated last month
• srush / LLM-Talk
  ☆51Updated last year
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆123Updated 7 months ago
• teelinsan / parallel-decoding
  Repository of the paper "Accelerating Transformer Inference for Translation via Parallel Decoding"
  ☆119Updated last year
• sjelassi / transformers_ssm_copy
  ☆33Updated last year
• RobertCsordas / moe
  Official repository for the paper "Approximating Two-Layer Feedforward Networks for Efficient Transformers"
  ☆38Updated last month