spmoon/connectailab-rl-jjangu-v5-link01

reinforcement-learning model by spmoon

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AI & ML enthusiast exploring deep learning and open-source models. Currently learning the fundamentals and sharing my learning journey CONNECT AI LAB 공동 연구 참여 모델 · 모델 연결(Connect AI) 실험은 테스트 중입니다. LINK-01 로봇의 지금 상황(목표 거리 · 방향 · 거리 센서 · 속도 · 직전 선택)을 글로 읽고, 다음 0.5초 동안 어떻게 걸을지 보기 글자 하나로 답하는 의사결정 모델입니다. CONNECT AI WORLD 로봇 웹 학습기에서 사람이 코스를 만들고 PPO로 강화학습한 두뇌(brain.json)를 선생님으로 언어 모델을 학습했습니다 (LoRA). 문제 수: {"train": 1442, "valid": 315, "test": 553} · 글로 옮겨도 두뇌가 같은 답을 내는 비율(정답률 상한) 99% 걷기 채점은 2D 걷기 근사 (웹 MuJoCo 걷기를 명령별로…

spmoon/connectailab-rl-jjangu-v5-link01 on Hugging Face A short preview, not the full document.

Read the full model card ↗ · Preview checked 2026-10-31T09:03:19.202Z

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Model overview

spmoon/connectailab-rl-jjangu-v5-link01 is a reinforcement-learning model repository published by spmoon on Hugging Face. The source reports the peft library.

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Model facts

Task: reinforcement-learning
Library: peft
Recent downloads (30 days): 0
Cumulative likes: 0
Hugging Face trending score: 0
Reported safetensors parameters: Not reported
Architecture: Not reported
License: apache-2.0
Access: Not gated by Hugging Face
Created: 2026-10-31T06:16:03.000Z
Last modified: 2026-10-31T06:17:18.000Z

Compatibility and lineage

Reported languages: ko

Reported base models: Qwen/Qwen3.5-0.8B

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

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