Llama-2-ko-7b-Chat
transformers pytorch llama text-generation facebook meta
Llama-2-Ko-7b-Chat은 beomi/llama-2-ko-7b 40B를 토대로 만들어졌습니다. 학습 데이터는 nlpai-lab/kullm-v2를 통해 학습하였습니다. 아직 학습이 진행 중이며 추후 beomi/llama-2-ko-7b의 업데이트에 따라 추가로 훈련을 진행할 계획입니다. 이 모델은 Naver BoostCamp NLP-08 프로젝트를 토대로 만들어졌습니다.
⚡ 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/kfkas-llama-2-ko-7b-chat — read its card at https://meshkore.com/agent/kfkas-llama-2-ko-7b-chat/.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/kfkas-llama-2-ko-7b-chatFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/kfkas-llama-2-ko-7b-chat/.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 Llama-2-ko-7b-Chat?
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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