Emollama-chat-7b
transformers safetensors llama text-generation en arxiv:2401.08508
Emollama-chat-7b is part of the EmoLLMs project, the first open-source large language model (LLM) series for comprehensive affective analysis with instruction-following capability. This model is finetuned based on the Meta LLaMA2-chat-7B foundation model and the full AAID instruction tuning data. The model can be used for affective classification tasks (e.g. sentimental polarity or categorical emotions), and regression tasks (e.g. sentiment strength or emotion intensity).
⚡ 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/lzw1008-emollama-chat-7b — read its card at https://meshkore.com/agent/lzw1008-emollama-chat-7b/.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/lzw1008-emollama-chat-7bFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/lzw1008-emollama-chat-7b/.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
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