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SAVRN Model Hub

Model Collections

A collection is a selection with an argument attached: why these entries belong together, who put them together, and when it was last revised. None of them is a ranking.

All collections

Collection · 4 entries

Embedding models for retrieval

Sentence and document embedding models used to build retrieval systems. Dimension and sequence length matter more than size here, and both come from the publisher.

Edited by SAVRN researchRevised 2026-09-18

Collection · 4 entries

Models that fit on one accelerator

Models whose publisher-reported parameter count puts them within reach of a single accelerator at common precisions. Memory needed depends on precision and serving configuration, so treat the parameter count as the starting point, not the answer.

Edited by SAVRN researchRevised 2026-09-18

Collection · 6 entries

Open-weight text models worth knowing

Widely used open-weight language models, chosen because each one is a distinct family rather than a variant of the one above it. Selection, not a ranking.

Edited by SAVRN researchRevised 2026-09-18