This is a tiny Jamba model used for development, debugging and experimentation over the Jamba architecture.
It has 319M parameters (instead of 52B in
Jamba 1.5 Mini (and
Jamba v0.1) and 398B in
Jamba 1.5 Large),
and was trained on ~40B tokens.
It is great for use in unittests since it is a small model (doesn't take long to download) that has valid and non-random outputs. Yet, it did not undergo extensive training and should not be expected to generate high-quality text.
