Alternatives and similar repositories for BlackMamba

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

• kyegomez / MambaByte
  Implementation of MambaByte in "MambaByte: Token-free Selective State Space Model" in Pytorch and Zeta
  ☆123Updated last week
• kyegomez / Jamba
  PyTorch Implementation of Jamba: "Jamba: A Hybrid Transformer-Mamba Language Model"
  ☆187Updated last week
• Zyphra / Zamba2
  PyTorch implementation of models from the Zamba2 series.
  ☆184Updated 7 months ago
• llm-random / llm-random
  ☆195Updated last week
• lucidrains / llama-qrlhf
  Implementation of the Llama architecture with RLHF + Q-learning
  ☆166Updated 7 months ago
• VITA-Group / Q-GaLore
  Q-GaLore: Quantized GaLore with INT4 Projection and Layer-Adaptive Low-Rank Gradients.
  ☆200Updated last year
• lucidrains / PEER-pytorch
  Pytorch implementation of the PEER block from the paper, Mixture of A Million Experts, by Xu Owen He at Deepmind
  ☆128Updated last year
• tanaymeh / mamba-train
  A single repo with all scripts and utils to train / fine-tune the Mamba model with or without FIM
  ☆56Updated last year
• jxiw / MambaInLlama
  [NeurIPS 2024] Official Repository of The Mamba in the Llama: Distilling and Accelerating Hybrid Models
  ☆229Updated 4 months ago
• epfml / DenseFormer
  ☆82Updated last year
• kyegomez / MambaTransformer
  Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
  ☆205Updated last week
• QuixiAI / grokadamw
  ☆134Updated last year
• NVlabs / hymba
  ☆196Updated 9 months ago
• Pleias / Various-Finetuning
  Set of scripts to finetune LLMs
  ☆37Updated last year
• CG80499 / KAN-GPT-2
  Training small GPT-2 style models using Kolmogorov-Arnold networks.
  ☆121Updated last year
• itsnamgyu / block-transformer
  Block Transformer: Global-to-Local Language Modeling for Fast Inference (NeurIPS 2024)
  ☆161Updated 5 months ago
• goombalab / phi-mamba
  Official implementation of Phi-Mamba. A MOHAWK-distilled model (Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Mode…
  ☆115Updated last year
• RobertCsordas / moe_attention
  Official repository for the paper "SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention"
  ☆98Updated 11 months ago
• lucidrains / CALM-pytorch
  Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
  ☆177Updated last year
• facebookresearch / ExploreToM
  Code for ExploreTom
  ☆86Updated 2 months ago
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆241Updated 3 months ago
• kjslag / spacebyte
  A byte-level decoder architecture that matches the performance of tokenized Transformers.
  ☆65Updated last year
• HazyResearch / m2
  Repo for "Monarch Mixer: A Simple Sub-Quadratic GEMM-Based Architecture"
  ☆559Updated 8 months ago
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆155Updated 10 months ago
• huyphan168 / PEER
  Mixture of A Million Experts
  ☆47Updated last year
• HazyResearch / lolcats
  Repo for "LoLCATs: On Low-Rank Linearizing of Large Language Models"
  ☆245Updated 7 months ago
• joey00072 / ohara
  Collection of autoregressive model implementation
  ☆86Updated 4 months ago
• koayon / awesome-adaptive-computation
  A curated reading list of research in Adaptive Computation, Inference-Time Computation & Mixture of Experts (MoE).
  ☆154Updated 8 months ago
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆343Updated 9 months ago
• mcleish7 / arithmetic
  Code to reproduce "Transformers Can Do Arithmetic with the Right Embeddings", McLeish et al (NeurIPS 2024)
  ☆192Updated last year