Building a listed tool
Min Choi
EmbeddingGemma launch product manager; current Gemini models PM, named behind the EmbeddingGemma 300M listing on Anchor Terminal.
What Min 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 launch product manager; current Gemini models PM, 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
- Sahil Dua EmbeddingGemma research lead; launch lead research engineer
- Sebastian Flennerhag Research Scientist; DiffusionGemma research lead
Questions
Who is Min Choi?
Min Choi is embeddingGemma launch product manager; current Gemini models PM.
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 Min'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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