Founder of a listed tool
Mustafa Suleyman
Named behind 7 listings on Anchor Terminal.
What Mustafa builds
DiffusionGemma 26B A4B IT D · Open-weight models
DiffusionGemma 26B A4B IT is Google DeepMind's experimental open-weight text diffusion model on the Gemma 4 26B A4B mixture-of-experts architecture, 25.2B parameters with 3.8B active, taking text, images and video and writing text in 256-token blocks, under Apache 2.0.
Co-founder, DeepMind, researched 28 October 2026 · the people behind it
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.
Co-founder, DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 12B IT BB · Open-weight models
Gemma 4 12B IT is Google DeepMind's open-weight instruction-tuned dense model, 11.95B parameters in an encoder-free design, taking text, images, video frames and audio with a 262,144-token context, published on Hugging Face under Apache 2.0.
Co-founder, DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 26B A4B IT BB · Open-weight models
Gemma 4 26B A4B IT is Google DeepMind's open-weight instruction-tuned mixture-of-experts model, 25.2B parameters with 3.8B active, taking text and images with a 262,144-token context, published on Hugging Face under Apache 2.0.
Co-founder, DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 31B IT BB · Open-weight models
Gemma 4 31B IT is Google DeepMind's open-weight dense multimodal model of 30.7B parameters, taking text and images with a 256K-token context, published on Hugging Face in BF16 with 4-bit QAT builds under Apache 2.0.
Co-founder, DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 E2B IT C · Open-weight models
Gemma 4 E2B IT is Google DeepMind's small open-weight instruction-tuned model for phones and laptops, 2.3B effective parameters (5.1B with per-layer embeddings), taking text, images, video frames and audio with a 131,072-token context, published on Hugging Face under Apache 2.0.
Co-founder, DeepMind, researched 28 October 2026 · the people behind it
Gemma 4 E4B IT B · Open-weight models
Gemma 4 E4B IT is Google DeepMind's small open-weight instruction-tuned model for phones and laptops, 4.5B effective parameters (8B with per-layer embeddings), taking text, images, video frames and audio with a 131,072-token context, published on Hugging Face under Apache 2.0.
Co-founder, DeepMind, researched 28 October 2026 · the people behind it
Works with
- Brendan O’Donoghue Director of Research; DiffusionGemma / Gemini Diffusion lead
- Demis Hassabis Co-founder, Google DeepMind
- Gus Martins Gemma Product Manager
- Min Choi EmbeddingGemma launch product manager; current Gemini models PM
- Sahil Dua EmbeddingGemma research lead; launch lead research engineer
- Sebastian Flennerhag Research Scientist; DiffusionGemma research lead
- Shane Legg Co-founder and Chief AGI Scientist, Google DeepMind
Questions
Who is Mustafa Suleyman?
Mustafa Suleyman co-founded DeepMind and was its head of applied AI. After leaving DeepMind he co-founded Inflection AI in 2022, and he is now CEO of Microsoft AI.
What does Google DeepMind make?
Anchor Terminal lists DiffusionGemma 26B A4B IT, EmbeddingGemma 300M, Gemma 4 12B IT, Gemma 4 26B A4B IT, Gemma 4 31B IT, Gemma 4 E2B IT and Gemma 4 E4B IT from Google DeepMind. DiffusionGemma 26B A4B IT is Google DeepMind's experimental open-weight text diffusion model on the Gemma 4 26B A4B mixture-of-experts architecture, 25.2B parameters with 3.8B active, taking text, images and video and writing text in 256-token blocks, under Apache 2.0.
How are Mustafa's tools graded?
DiffusionGemma 26B A4B IT is graded D, 50 out of 100; EmbeddingGemma 300M is graded D, 50.7 out of 100; Gemma 4 12B IT is graded BB, 71.3 out of 100; Gemma 4 26B A4B IT is graded BB, 72.2 out of 100; Gemma 4 31B IT is graded BB, 74.1 out of 100; Gemma 4 E2B IT is graded C, 60.4 out of 100; Gemma 4 E4B IT is graded B, 63.2 out of 100, on Anchor Terminal's benchmark, which scores every listing against the same checklist.
Sources (22)
- https://uk.linkedin.com/in/lgusmartins
- https://x.com/gusthema
- https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation/
- https://arxiv.org/html/2608.00146v1
- https://x.com/flennerhag
- https://x.com/bodonoghue85
- https://gemma.ai/
- https://x.com/Google
- https://deepmind.google/
- https://ai.google.dev/gemma/docs/discord
- https://gemma.ai/resources/
- https://en.wikipedia.org/wiki/Google_DeepMind
- https://deepmind.google/about/
- https://en.wikipedia.org/wiki/Demis_Hassabis
- https://en.wikipedia.org/wiki/Shane_Legg
- https://en.wikipedia.org/wiki/Mustafa_Suleyman
- 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://huggingface.co/google/embeddinggemma-300m
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