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amazon/poiss-bge-m3-retriever

archivedmodel

Sentence similarity model from amazon (HF pipeline tag; the card has no one-line description). Dense, 567M params. Context: 8K tokens (config). License: mit. Vendor-reported: "Used as a reranker over its own top-1000 (the setting the cross-encoder is compared against): P@5 57.6, P@20 35.5, MRR 85.5, nDCG@5 61.5, nDCG@20 62.6."

Org
amazon
Released
2026-09-18
Status
archived
License
mit (permissive)
Parameters
567M
Architecture
dense · XLMRobertaModel
Context
8,194 tokens
Task
sentence-similarity · embedding
Signal
0 HF likes · 77 downloads
Archived
2026-10-18 (aged out (older than 30 days); stats as last seen)

Runs on

estimate from params; need = weights + FP16 KV cache for 8K tokens + 1GB. A sizing calculation, not tested.

Links

First published here 2026-09-18 · updated 2026-10-18 · markdown · JSON