Building a listed tool
Sahil Dua
EmbeddingGemma research lead; launch lead research engineer, named behind the EmbeddingGemma 300M listing on Anchor Terminal.
What Sahil builds
EmbeddingGemma 300M D · Embeddings & rerankers
EmbeddingGemma 300M is Google DeepMind's open-weight text embedding model of 308M parameters, returning 768-dimension vectors that truncate to 512, 256 or 128 from up to 2,048 tokens in over 100 languages, gated under the Gemma Terms of Use.
EmbeddingGemma research lead; launch lead research engineer, researched 27 October 2026 · the people behind it
Works with
- Brendan O’Donoghue Director of Research; DiffusionGemma / Gemini Diffusion lead
- Gus Martins Gemma Product Manager
- Min Choi EmbeddingGemma launch product manager; current Gemini models PM
- Sebastian Flennerhag Research Scientist; DiffusionGemma research lead
Questions
Who is Sahil Dua?
Sahil Dua is embeddingGemma research lead; launch lead research engineer.
What does Google DeepMind make?
Anchor Terminal lists EmbeddingGemma 300M from Google DeepMind. EmbeddingGemma 300M is Google DeepMind's open-weight text embedding model of 308M parameters, returning 768-dimension vectors that truncate to 512, 256 or 128 from up to 2,048 tokens in over 100 languages, gated under the Gemma Terms of Use.
How are Sahil's tools graded?
EmbeddingGemma 300M is graded D, 50.7 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.
Sources (12)
- https://uk.linkedin.com/in/lgusmartins
- https://x.com/gusthema
- https://developers.googleblog.com/en/introducing-embeddinggemma/
- https://arxiv.org/abs/2509.20354
- https://x.com/sahildua2305
- https://www.linkedin.com/in/minschoi
- https://x.com/iohcsnim
- https://gemma.ai/
- https://x.com/Google
- https://deepmind.google/
- https://huggingface.co/google/embeddinggemma-300m
- https://ai.google.dev/gemma/docs/discord
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