Barcelona Supercomputing Center
labOpenness profile
1 product on the map — 1 open-ish.
Openness
4 high confidence- weights
- open(Apache-2.0, safetensors on HF BSC-LT/ALIA-40b)
- data
- documented-not-released(60+ named sources described in the model card, but the pretraining corpus "will not be released or distributed to third parties")
- code
- open(all training scripts + configuration files at github.com/langtech-bsc/alia)
- checkpoints
- not-released
- license
- Apache-2.0(OSI)
A strong open-weights release that stops one notch short of full openness: permissive Apache-2.0 weights plus the complete training code and recipe published on GitHub, but a pretraining corpus that is only documented, through 60-odd named sources, rather than released or reconstructable. That missing open-data component is the bright line keeping it at open weights (4) rather than the open-source tier (5) that OLMo, Pythia and Apertus reach - Apertus gets there by shipping data-reconstruction scripts. No intermediate checkpoints are published either.
- https://huggingface.co/BSC-LT/ALIA-40b recorded 2026-08-13
Apache-2.0 license; downloadable safetensors weights; 40.4B params; 9.37T training tokens; corpus documented across 60+ sources but "will not be released or distributed"; links training code at github.com/langtech-bsc/alia
- https://api.github.com/repos/langtech-bsc/alia recorded 2026-08-13
`private: false`, `archived: false`, license `Apache-2.0`. The training scripts and configuration files the model card points at are published.
- https://github.com/langtech-bsc/alia recorded 2026-06-26
open training scripts and configuration files for the ALIA models