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adirik/mamba-1.4b

A robust implementation of the Mamba architecture featuring 1.4 billion parameters that occupies a strategic position between smaller variants and the larger 2.8B model. Mamba-1.4b provides strong language modeling capabilities while maintaining reasonable computational requirements, offering an excellent balance between performance and resource efficiency. The model demonstrates impressive capabilities in handling complex language tasks with the architecture's characteristic efficiency in processing long sequences, making it suitable for a wide range of applications requiring advanced language understanding without excessive computational demands.

Technical Specifications:

  • Architecture: Selective State Space Model (Mamba)
  • Parameters: 1.4 billion
  • Training Data: The Pile (300B tokens)
  • Context Length: Standard 2048 tokens
  • Scaling Characteristics: Linear computational scaling with sequence length
  • Performance Level: Strong capabilities with moderate resource requirements
  • Applications: Content generation, summarization, complex language tasks
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