2 embedding and rerank models from 2 labs. 2 have weights you can download. The largest context window is 8K tokens (Bosun). Newest check: 28 Oct 2026.
94 of 197 models were checked against the vendor's own page in the last 30 days.
| Model | Lab | Context | In / out per 1M | Reads and writes | Status | Checked |
|---|---|---|---|---|---|---|
| EmbeddingGemma 2Google DeepMind's open 740M-parameter embedding model maps text, code, images, video, and audio into one shared embedding space for on-device search. | 8K | -- | text, code, image, audio, video → embeddings | Available | 28 Oct | |
| BosunBosun v1.1 by Hanno Labs is an Apache 2.0 judge model that scores whether pairs of findings satisfy a runtime-defined rule, available in 4B and 0.6B sizes. | Hanno Labs | 8K | -- | text → text | Available | 31 Aug |
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