The request names "jev-27b", which matches TypeSafe AI's "Jev", its first System One Model in early access 7, so TypeSafe AI is the answer. Gemma2 27b instruct is a separate 27-billion-parameter model on Replicate 3 and is the nearest alternative by name, while the other products do not serve as a model to run.
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TypeSafe AItypesafe.aiverified and signed
TypeSafe AI's Jev is its first System One Model, offered in early access for machine-native decision-making within software 7.
+9 community tools built for it
for agents: TypeSafe
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Sources
- 3Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 7Home - TypeSafe AItypesafe.ai · read 2026-10-29
- 13google-deepmind/gemma2-27b-it: declares "google-deepmind/gemma2-27b-it" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
· Playwright website read, tools not yet checked
Web automation and testing for apps, scripts, and AI agents
get_file · Figma (Activepieces) verified and signed
Get File — Get file
google-deepmind/gemma2-27b-it · google-deepmind/gemma2-27b-it verified and signed
Google's Gemma2 27b instruct model
js client · @netlify/api verified and signed
google-deepmind/gemma-3-27b-it · google-deepmind/gemma-3-27b-it verified and signed
Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.
ethereum · eth-typing verified and signed
barakplasma/jev-omni · barakplasma/jev-omni verified and signed
Jev-Omni (#1 on Image JevBench v0.1): ask a typed yes/no or multiple-choice question about an image, get a calibrated probability per option from one forward pass. Pinned akhilaaa3/Jev-Omni revision, Apache-2.0.
· Langchain Google website read, tools not yet checked
LangChain enables every company to own their intelligence. Control, govern, and compound intelligence with an open agent engineering platform.
TypeSafe · TypeSafe verified and signed
Use when building AI-powered software that makes structured
python · fastcore verified and signed
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.