Alternatives and similar repositories for recurrentgemma

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

• Cerebras / gigaGPT
  a small code base for training large models
  ☆313Updated 6 months ago
• microsoft / Samba
  [ICLR 2025] Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling
  ☆926Updated 2 weeks ago
• valine / NeuralFlow
  Visualize the intermediate output of Mistral 7B
  ☆376Updated 9 months ago
• PaulPauls / llama3_interpretability_sae
  A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and full…
  ☆625Updated 7 months ago
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆168Updated 4 months ago
• srush / annotated-mamba
  Annotated version of the Mamba paper
  ☆490Updated last year
• SakanaAI / evo-memory
  Code to train and evaluate Neural Attention Memory Models to obtain universally-applicable memory systems for transformers.
  ☆327Updated last year
• idoh / mamba.np
  A pure NumPy implementation of Mamba.
  ☆223Updated last year
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆543Updated 5 months ago
• HazyResearch / m2
  Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"
  ☆560Updated 10 months ago
• pbelcak / UltraFastBERT
  The repository for the code of the UltraFastBERT paper
  ☆518Updated last year
• google-deepmind / nanodo
  ☆285Updated last year
• apple / ml-sigma-reparam
  ☆310Updated last year
• facebookresearch / optimizers
  For optimization algorithm research and development.
  ☆543Updated this week
• llm-random / llm-random
  ☆204Updated 3 weeks ago
• facebookresearch / searchformer
  Official codebase for the paper "Beyond A* Better Planning with Transformers via Search Dynamics Bootstrapping".
  ☆375Updated last year
• XuezheMax / megalodon
  Reference implementation of Megalodon 7B model
  ☆523Updated 5 months ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆582Updated 3 months ago
• tysam-code / hlb-gpt
  Minimalistic, extremely fast, and hackable researcher's toolbench for GPT models in 307 lines of code. Reaches <3.8 validation loss on wi…
  ☆351Updated last year
• ironjr / grokfast
  Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
  ☆564Updated last year
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆355Updated 11 months ago
• marin-community / levanter
  Legible, Scalable, Reproducible Foundation Models with Named Tensors and Jax
  ☆679Updated this week
• rwitten / HighPerfLLMs2024
  ☆545Updated last year
• erfanzar / EasyDeL
  Accelerate, Optimize performance with streamlined training and serving options with JAX.
  ☆321Updated this week
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆241Updated 5 months ago
• google-deepmind / penzai
  A JAX research toolkit for building, editing, and visualizing neural networks.
  ☆1,824Updated 4 months ago
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆192Updated 11 months ago
• magicproduct / hash-hop
  Long context evaluation for large language models
  ☆224Updated 8 months ago
• adamkarvonen / chess_llm_interpretability
  Visualizing the internal board state of a GPT trained on chess PGN strings, and performing interventions on its internal board state and …
  ☆216Updated 11 months ago
• google / paxml
  Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…
  ☆539Updated 2 months ago