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.
Downloads last month
17
Safetensors
Model size
9B params
Tensor type
BF16
ยท
Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for CASE-Bench/CASE-8B-ABL-RLAIF

Finetuned
(683)
this model