Alternatives and similar repositories for coconut-pytorch

Users that are interested in coconut-pytorch are comparing it to the libraries listed below

• ScalingIntelligence / large_language_monkeys
  ☆111Updated last year
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆218Updated last year
• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆233Updated 2 months ago
• SynthLabsAI / big-math
  A Large-Scale, High-Quality Math Dataset for Reinforcement Learning in Language Models
  ☆68Updated 9 months ago
• haonan3 / AnchorContext
  AnchorAttention: Improved attention for LLMs long-context training
  ☆213Updated 11 months ago
• SalesforceAIResearch / GemFilter
  ☆85Updated last month
• Parallel-Reasoning / APR
  [COLM 2025] Code for Paper: Learning Adaptive Parallel Reasoning with Language Models
  ☆136Updated 4 months ago
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆133Updated last month
• wuhy68 / Parameter-Efficient-MoE
  Parameter-Efficient Sparsity Crafting From Dense to Mixture-of-Experts for Instruction Tuning on General Tasks (EMNLP'24)
  ☆148Updated last year
• da03 / Internalize_CoT_Step_by_Step
  ☆200Updated 8 months ago
• RobertCsordas / moeut
  ☆89Updated last year
• SalesforceAIResearch / LaTRO
  ☆125Updated 10 months ago
• sanyalsunny111 / LLM-Inheritune
  This is the official repository for Inheritune.
  ☆117Updated 10 months ago
• mlfoundations / scaling
  Language models scale reliably with over-training and on downstream tasks
  ☆100Updated last year
• kyleliang919 / Online-Subspace-Descent
  [NeurIPS 2024] Low rank memory efficient optimizer without SVD
  ☆32Updated 5 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆243Updated 6 months ago
• hughbzhang / o1_inference_scaling_laws
  Replicating O1 inference-time scaling laws
  ☆91Updated last year
• TIGER-AI-Lab / General-Reasoner
  General Reasoner: Advancing LLM Reasoning Across All Domains [NeurIPS25]
  ☆210Updated 3 weeks ago
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆162Updated 8 months ago
• shaochenze / PatchTrain
  Code for paper "Patch-Level Training for Large Language Models"
  ☆96Updated last month
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆179Updated last year
• thu-ml / ReMoE
  [ICLR2025] Codebase for "ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing", built on Megatron-LM.
  ☆102Updated last year
• JacobPfau / fillerTokens
  ☆75Updated last year
• architsharma97 / dpo-rlaif
  ☆100Updated last year
• astramind-ai / Mixture-of-depths
  Unofficial implementation for the paper "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆176Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆246Updated 2 months ago
• facebookresearch / RAM
  A framework to study AI models in Reasoning, Alignment, and use of Memory (RAM).
  ☆332Updated this week
• FasterDecoding / BitDelta
  ☆204Updated last year
• TIGER-AI-Lab / CritiqueFineTuning
  Code for "Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate" [COLM 2025]
  ☆180Updated 5 months ago
• facebookresearch / PhysicsLM4
  Physics of Language Models, Part 4
  ☆270Updated 2 weeks ago