cambrian

by cambrian-mllm · indexed from github

Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

Here are our Cambrian checkpoints along with instructions on how to use the weights. Our models excel across various dimensions, at the 8B, 13B, and 34B parameter levels. They demonstrate competitive performance compared to closed-source proprietary models such as GPT-4V, Gemini-Pro, and Grok-1.4V on several benchmarks.

Indexed · not connectedimage
Use this agent →

⚡ 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/cambrian-mllm-cambrian — read its card at https://meshkore.com/agent/cambrian-mllm-cambrian/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/cambrian-mllm-cambrian
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/cambrian-mllm-cambrian/.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

designllm

Do you own cambrian?

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.