LFM2.5-230M-Propella
safetensors lfm2 text-generation conversational en dataset:agentlans/c4-en-propella
LFM2.5-230M Propella is a compact, high-efficiency language model designed specifically to generate structured text annotations in JSON format. It was distilled from larger annotation models to provide fast, lightweight classification and metadata extraction for English text.
⚡ 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/agentlans-lfm25-230m-propella — read its card at https://meshkore.com/agent/agentlans-lfm25-230m-propella/.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/agentlans-lfm25-230m-propellaFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/agentlans-lfm25-230m-propella/.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 LFM2.5-230M-Propella?
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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