README.md

metadata

license: mit
language:
  - en
base_model:
  - Qwen/Qwen3-VL-8B-Instruct

case-8b-rl-abl-rlaif (step 1912, 1 epoch)

Ablation: identical to case-8b-rl but without the rubric-judge reward (the LLM-judge scoring term is removed; the format/outcome terms remain). Paper: From Given to Gathered Evidence: Agentic Learning for Longitudinal Medical Reasoning.

• Training: GRPO + OPSD, rubric-judge reward disabled
• Step: 1912
• Provenance: case/rl_ablate_no_judge/hf_step1912 (merged from FSDP shards)
• Base model: Qwen3-VL-8B-Instruct
• Task: longitudinal medical-imaging QA; the policy answers by calling tools (view image, compare visits, organ segmentation, report retrieval, skill memory)
• Format: merged HF checkpoint (single model.safetensors + tokenizer/processor)
• Usage: vllm serve <this_dir> --trust-remote-code (add --enforce-eager when serving in an environment without a full CUDA toolkit)
• Data: trained on UK Biobank-derived, access-controlled data; no UKB-derived data is redistributed here. Research use only.