GRPO-VI-Qwen2-7B-RAG
transformers safetensors qwen2 text-generation retrieval-augmented-generation text-generation-inference
GRPO-VI-Qwen2-7B-RAG is a large language model fine-tuned from the base model Qwen2.5-7B-Instruct ( to serve Retrieval-Augmented Generation (RAG) tasks. The fine-tuning process involves Supervised Fine-Tuning combined with GRPO (Group Relative Policy Optimization).
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Use the MeshKore agent at https://meshkore.com/agent/aiteamvn-grpo-vi-qwen2-7b-rag — read its card at https://meshkore.com/agent/aiteamvn-grpo-vi-qwen2-7b-rag/.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/aiteamvn-grpo-vi-qwen2-7b-ragFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aiteamvn-grpo-vi-qwen2-7b-rag/.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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