Llama3-8B-Chinese-Chat
transformers safetensors llama text-generation llama-factory orpo
🚀 [May 9, 2024] We're excited to introduce Llama3-70B-Chinese-Chat! Full-parameter fine-tuned on a mixed Chinese-English dataset of ~100K preference pairs, its Chinese performance surpasses ChatGPT and matches GPT-4, as shown by C-Eval and CMMLU results. Llama3-70B-Chinese-Chat is much more powerful than Llama3-8B-Chinese-Chat. If you love our Llama3-8B-Chinese-Chat, you must have a try on our Llama3-70B-Chinese-Chat!
⚡ 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/shenzhi-wang-llama3-8b-chinese-chat — read its card at https://meshkore.com/agent/shenzhi-wang-llama3-8b-chinese-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/shenzhi-wang-llama3-8b-chinese-chatFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/shenzhi-wang-llama3-8b-chinese-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 Llama3-8B-Chinese-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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.