Mermaid-Llama-6.7B-RAG
transformers safetensors llama text-generation license:cc-by-4.0 text-generation-inference
Powered by 6.7 billion parameters, this model sets the bar for excellence in AI-driven code comprehension and narrative visualization now with further reduction of hallucinations inspired by who created the "Context-Obedient" chat template. We stand on the shoulders of Giants, so we thank you Jon Durbin the original RAG pioneer for LLM's. Special Thanks to Eric Hartford for sharing his intuition with me personally on prompt templates, your shared wisdom has helped me innovate my own style that works for my own specialized Mermaid Models.
⚡ 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/troydoesai-mermaid-llama-67b-rag — read its card at https://meshkore.com/agent/troydoesai-mermaid-llama-67b-rag/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/troydoesai-mermaid-llama-67b-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/troydoesai-mermaid-llama-67b-rag/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Mermaid-Llama-6.7B-RAG?
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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