OCC-RAG-1.7B
transformers safetensors qwen3 text-generation rag faithful-qa
OCC-RAG-1.7B is a 1.7B-parameter small language model specialized for faithful, context-grounded question answering. Along with OCC-RAG-0.6B, it belongs to the first generation of Optimal Cognitive Core (OCC) specialized reasoning models. Given a question and a set of sources, it produces a structured reasoning trace with explicit source citations, decides whether the context actually supports an answer, and either answers from the context or abstains.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/occ-ai-occ-rag-17b — read its card at https://meshkore.com/agent/occ-ai-occ-rag-17b/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/occ-ai-occ-rag-17bFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/occ-ai-occ-rag-17b/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own OCC-RAG-1.7B?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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