apapiu / mamba_small_benchLinks
Trying out the Mamba architecture on small examples (cifar-10, shakespeare char level etc.)
☆47Updated last year
Alternatives and similar repositories for mamba_small_bench
Users that are interested in mamba_small_bench are comparing it to the libraries listed below
Sorting:
- Implementation of the proposed Adam-atan2 from Google Deepmind in Pytorch☆127Updated 10 months ago
- A simple but robust PyTorch implementation of RetNet from "Retentive Network: A Successor to Transformer for Large Language Models" (http…☆106Updated last year
- Implementation of Block Recurrent Transformer - Pytorch☆221Updated last year
- Official implementation of "Hydra: Bidirectional State Space Models Through Generalized Matrix Mixers"☆160Updated 8 months ago
- Implementation of Agent Attention in Pytorch☆91Updated last year
- Quick implementation of nGPT, learning entirely on the hypersphere, from NvidiaAI☆291Updated 4 months ago
- Simple, minimal implementation of the Mamba SSM in one pytorch file. Using logcumsumexp (Heisen sequence).☆123Updated 11 months ago
- Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"☆56Updated last month
- Explorations into the recently proposed Taylor Series Linear Attention☆99Updated last year
- The official repository for HyperZ⋅Z⋅W Operator Connects Slow-Fast Networks for Full Context Interaction.☆39Updated 6 months ago
- PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"☆190Updated this week
- A Triton Kernel for incorporating Bi-Directionality in Mamba2☆75Updated 9 months ago
- Attempt to make multiple residual streams from Bytedance's Hyper-Connections paper accessible to the public☆91Updated 3 months ago
- Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind☆129Updated last year
- ☆292Updated 9 months ago
- Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling☆206Updated last month
- Official PyTorch Implementation of "The Hidden Attention of Mamba Models"☆228Updated last year
- Implementation of Infini-Transformer in Pytorch☆113Updated 9 months ago
- Some personal experiments around routing tokens to different autoregressive attention, akin to mixture-of-experts☆119Updated 11 months ago
- [ICLR 2025 & COLM 2025] Official PyTorch implementation of the Forgetting Transformer and Adaptive Computation Pruning☆131Updated 2 weeks ago
- Griffin MQA + Hawk Linear RNN Hybrid☆89Updated last year
- Implementation of Soft MoE, proposed by Brain's Vision team, in Pytorch☆327Updated 6 months ago
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Implementation of a multimodal diffusion transformer in Pytorch☆105Updated last year
- Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta☆123Updated this week
- Training small GPT-2 style models using Kolmogorov-Arnold networks.☆120Updated last year
- Exploration into the proposed "Self Reasoning Tokens" by Felipe Bonetto☆57Updated last year
- ☆302Updated 5 months ago
- Implementation of MoE Mamba from the paper: "MoE-Mamba: Efficient Selective State Space Models with Mixture of Experts" in Pytorch and Ze…☆109Updated this week
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆66Updated 2 months ago