Alternatives and similar repositories for phi-mamba

Users that are interested in phi-mamba are comparing it to the libraries listed below

• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆225Updated 3 months ago
• shawntan / stickbreaking-attention
  Stick-breaking attention
  ☆58Updated last month
• jzhang38 / LongMamba
  Some preliminary explorations of Mamba's context scaling.
  ☆216Updated last year
• zhixuan-lin / forgetting-transformer
  [ICLR 2025] Official PyTorch implementation of "Forgetting Transformer: Softmax Attention with a Forget Gate"
  ☆118Updated last month
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆127Updated 11 months ago
• goombalab / hydra
  Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"
  ☆150Updated 6 months ago
• NVlabs / GatedDeltaNet
  [ICLR 2025] Official PyTorch Implementation of Gated Delta Networks: Improving Mamba2 with Delta Rule
  ☆192Updated 4 months ago
• lucidrains / coconut-pytorch
  Implementation of 🥥 Coconut, Chain of Continuous Thought, in Pytorch
  ☆178Updated last month
• RobertCsordas / moeut
  ☆83Updated 11 months ago
• Cranial-XIX / longhorn
  Official PyTorch Implementation of the Longhorn Deep State Space Model
  ☆54Updated 8 months ago
• huyphan168 / PEER
  Mixture of A Million Experts
  ☆46Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆221Updated 3 weeks ago
• athms / mad-lab
  A MAD laboratory to improve AI architecture designs 🧪
  ☆123Updated 7 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆238Updated last month
• NVIDIA / ngpt
  Normalized Transformer (nGPT)
  ☆185Updated 8 months ago
• kyegomez / Mixture-of-Depths
  Implementation of the paper: "Mixture-of-Depths: Dynamically allocating compute in transformer-based language models"
  ☆103Updated last week
• epfml / schedules-and-scaling
  Code for NeurIPS 2024 Spotlight: "Scaling Laws and Compute-Optimal Training Beyond Fixed Training Durations"
  ☆77Updated 9 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆173Updated last year
• ScalingIntelligence / large_language_monkeys
  ☆101Updated 10 months ago
• assafbk / DeciMamba
  DeciMamba: Exploring the Length Extrapolation Potential of Mamba (ICLR 2025)
  ☆28Updated 3 months ago
• berlino / gated_linear_attention
  ☆106Updated last year
• lucidrains / infini-transformer-pytorch
  Implementation of Infini-Transformer in Pytorch
  ☆111Updated 7 months ago
• jxiw / M1
  M1: Towards Scalable Test-Time Compute with Mamba Reasoning Models
  ☆26Updated 2 weeks ago
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆160Updated 3 months ago
• test-time-training / ttt-lm-kernels
  Inference Speed Benchmark for Learning to (Learn at Test Time): RNNs with Expressive Hidden States
  ☆72Updated last year
• apple / ml-sigmoid-attention
  ☆293Updated 3 months ago
• proger / hippogriff
  Griffin MQA + Hawk Linear RNN Hybrid
  ☆88Updated last year
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆86Updated last month
• BlinkDL / LinearAttentionArena
  Here we will test various linear attention designs.
  ☆62Updated last year
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆244Updated 6 months ago