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mamba-architecture - Mamba Architecture and Selective State Space Models

Provides workflows for configuring, loading, and generating text with Mamba selective state-space models.

Tags

Updated: 2026-09-18
Model ArchitectureMambaState Space ModelsSSMLinear ComplexityEfficient Inference

Capabilities

Configure Mamba and Mamba2 modelsLoad pretrained HuggingFace Mamba modelsGenerate text with Mamba modelsBenchmark inference speed against Transformers

Typical Inputs

Model configuration parametersInput tensor or token IDsPretrained model checkpoint name

Typical Outputs

Output tensorGenerated text sequenceInference benchmark metrics

What this skill does

  • Configure Mamba and Mamba2 models
  • Load pretrained HuggingFace Mamba models
  • Generate text with Mamba models
  • Benchmark inference speed against Transformers
  • Enable gradient checkpointing for optimization

Inputs

  • Model configuration parameters
  • Input tensor or token IDs
  • Pretrained model checkpoint name
  • Text prompt

Outputs

  • Output tensor
  • Generated text sequence
  • Inference benchmark metrics

Requirements

  • Linux OS
  • NVIDIA GPU with CUDA 11.6+
  • PyTorch 1.12+
  • mamba-ssm Python package
  • causal-conv1d Python package

Source

  • Spec: SKILL.md

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