SpectraSuite by Nolano AI

AI & ML interests

None defined yet.

Spectra Suite

We release the Spectra Suite consisting of 54 models ranging from 99M to 3.9B parameters across different bitwidths:

  • FloatLM: LLMs pretrained in FP16 (Half-Precision).
  • TriLM: LLMs pretrained with effective ternary bitwidth.
  • QuantLM 8-bit: FloatLM LLMs Quantized to 8-bits.
  • QuantLM 6-bit: FloatLM LLMs Quantized to 6-bits.
  • QuantLM 4-bit: FloatLM LLMs Quantized to 4-bits.
  • QuantLM 3-bit: FloatLM LLMs Quantized to 3-bits.

All models are released in unpacked (FP16 format) - compatible with FP16 GEMMs across any library supporting the LLaMa architecture.

Citation

If you find these models or the associated paper useful, please cite the paper:

@misc{kaushal2024spectracomprehensivestudyternary,
      title={Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models}, 
      author={Ayush Kaushal and Tejas Pandey and Tejas Vaidhya and Aaryan Bhagat and Irina Rish},
      year={2024},
      eprint={2407.12327},
      archivePrefix={arXiv},
      primaryClass={cs.LG},
      url={https://arxiv.org/abs/2407.12327}, 
}