Add endoedge_qwen3vl8b_peft_suite: Qwen3-VL-8B GI adapter, SAGE-benchmarked

endoedge_qwen3vl8b_peft_suite/README.md

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+# Endoedge Qwen3-VL-8B GI adapters — four PEFT configurations
+
+Four adapters for `Qwen/Qwen3-VL-8B-Instruct`, trained identically on the same data in
+the same order with the same effective batch (64) for the same 1,200 optimizer updates.
+**Rank and quantization are the only variables**, which is what makes the four
+comparable.
+
+| adapter | method | rank | SAGE macro-F1 | in-domain | ms/img | resident weights | adapter |
+|---|---|---|---|---|---|---|---|
+| [`endoedge_qwen3vl8b_lora_r128`](./endoedge_qwen3vl8b_lora_r128) | lora | 128 | **0.2191** | 0.6342 | 344 | 16.98 GiB | 0.65 GiB |
+| [`endoedge_qwen3vl8b_lora_r512`](./endoedge_qwen3vl8b_lora_r512) | lora | 512 | **0.2050** | 0.6772 | 347 | 18.93 GiB | 2.60 GiB |
+| [`endoedge_qwen3vl8b_qlora_r128`](./endoedge_qwen3vl8b_qlora_r128) | qlora | 128 | **0.2509** | 0.6262 | 652 | 8.92 GiB | 0.65 GiB |
+| [`endoedge_qwen3vl8b_qlora_r512`](./endoedge_qwen3vl8b_qlora_r512) | qlora | 512 | **0.2509** | 0.6366 | 662 | 10.87 GiB | 2.60 GiB |
+
+Published baselines on SAGE, trained on HyperKvasir or GastroVision (Oli et al. 2026):
+macro-F1 **0.1164 – 0.2431**. Both QLoRA adapters exceed the best of them.
+
+## The result worth knowing
+
+**In-domain and out-of-domain rankings disagree.** The configuration that fits the
+European training corpora best (LoRA r512) transfers worst to South Asian endoscopy,
+and both QLoRA runs — the weakest in-domain — tie for best under population shift.
+NF4 quantization appears to act as a regulariser against source-domain overfitting.
+
+Caveat: four runs, one seed each, 420 test images. The QLoRA-vs-LoRA gap exceeds the
+within-family spread; the rank effect does not.
+
+## Choosing one
+
+- **Same population as training** → `lora_r512`: best in-domain and ~1.9x faster to serve.
+- **Unseen population** → either QLoRA adapter: +0.046 macro-F1 under shift, at ~1.9x
+  the latency. NF4 nearly halves resident weights but barely reduces *peak* inference
+  VRAM, because activations dominate at batch 16.
+
+Full protocol, projection tables, per-label scores and profiling are in
+`reports/qwen3vl_gi_sage_benchmark_results.pdf` in this folder.
+
+All four share the output contract, prompt, limitations and attribution documented in
+each adapter's own card.

endoedge_qwen3vl8b_peft_suite/reports/benchmark_results.json

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+{
+ "gpu": "NVIDIA H100",
+ "software": {
+  "python": "3.13.13",
+  "torch": "2.12.1",
+  "transformers": "5.16.1",
+  "peft": "0.20.0",
+  "accelerate": "1.14.0",
+  "bitsandbytes": "0.50.2",
+  "wandb": "0.27.2",
+  "numpy": "2.5.0",
+  "pillow": "12.2.0",
+  "jsonschema": "4.26.0",
+  "cuda": "13.0",
+  "gpu_model": "NVIDIA H100",
+  "gpu_count": "1"
+ },
+ "protocol": {
+  "select_n": 600,
+  "batch_size": 16,
+  "candidates": [
+   "step_000750",
+   "step_001000",
+   "final"
+  ],
+  "taus": [
+   0.0,
+   0.3,
+   0.5,
+   0.6,
+   0.7,
+   0.75,
+   0.8,
+   0.85,
+   0.9,
+   0.95,
+   0.98,
+   0.99
+  ],
+  "decoding": "greedy, max_new_tokens=96",
+  "prompt_system": "You are an expert gastrointestinal endoscopist. You read a single endoscopy frame and report your findings as one JSON object.",
+  "prompt_instruction": "Report the findings in this GI endoscopy frame as a single JSON object with\nexactly these keys, in this order: tract, landmark, abnormality_present, abnormality_type, grade, prep_quality, procedure, instrument_present.\nUse null for any key this frame does not establish.\n"
+ },
+ "sage": {
+  "n_test": 420,
+  "n_train": 880,
+  "label_counts_test": {
+   "blood": 13,
+   "colon": 49,
+   "diverticulum": 6,
+   "duodenum": 15,
+   "esophagitis": 15,
+   "esophagus": 73,
+   "foreign-body": 9,
+   "fundus": 16,
+   "gej": 27,
+   "growth": 11,
+   "inflammation": 40,
+   "instrument": 79,
+   "polyp": 58,
+   "pylorus": 84,
+   "rectum": 11,
+   "stomach": 126,
+   "ulcer": 15,
+   "z-line": 17
+  }
+ },
+ "projection": {
+  "sage_labels": [
+   "blood",
+   "colon",
+   "diverticulum",
+   "duodenum",
+   "esophagitis",
+   "esophagus",
+   "foreign-body",
+   "fundus",
+   "gej",
+   "growth",
+   "inflammation",
+   "instrument",
+   "polyp",
+   "pylorus",
+   "rectum",
+   "stomach",
+   "ulcer",
+   "z-line"
+  ],
+  "reachable": [
+   "blood",
+   "colon",
+   "diverticulum",
+   "duodenum",
+   "esophagitis",
+   "esophagus",
+   "fundus",
+   "gej",
+   "growth",
+   "inflammation",
+   "instrument",
+   "polyp",
+   "pylorus",
+   "rectum",
+   "stomach",
+   "ulcer",
+   "z-line"
+  ],
+  "unreachable": [
+   "foreign-body"
+  ],
+  "landmark_map": {
+   "cecum": [
+    "colon"
+   ],
+   "large_bowel_mucosa": [
+    "colon"
+   ],
+   "ileocecal_valve": [
+    "colon"
+   ],
+   "retroflex_rectum": [
+    "rectum"
+   ],
+   "duodenal_bulb": [
+    "duodenum"
+   ],
+   "stomach": [
+    "stomach"
+   ],
+   "retroflex_stomach": [
+    "stomach",
+    "fundus"
+   ],
+   "pylorus": [
+    "pylorus"
+   ],
+   "gej_zline": [
+    "gej",
+    "z-line"
+   ],
+   "esophagus": [
+    "esophagus"
+   ],
+   "ileum": []
+  },
+  "abnormality_map": {
+   "polyp": [
+    "polyp"
+   ],
+   "ulcer": [
+    "ulcer"
+   ],
+   "ulcerative_colitis": [
+    "inflammation"
+   ],
+   "mucosal_inflammation": [
+    "inflammation"
+   ],
+   "erythema": [
+    "inflammation"
+   ],
+   "esophagitis": [
+    "esophagitis"
+   ],
+   "colon_diverticula": [
+    "diverticulum"
+   ],
+   "colorectal_cancer": [
+    "growth"
+   ],
+   "blood_in_lumen": [
+    "blood"
+   ],
+   "hemorrhoids": [],
+   "angiectasia": [],
+   "esophageal_varices": [],
+   "barretts": []
+  },
+  "procedure_map": {
+   "dyed_lifted_polyp": [
+    "instrument"
+   ],
+   "dyed_resection_margin": [
+    "instrument"
+   ],
+   "resected_polyp": [
+    "instrument"
+   ],
+   "resection_margin": [
+    "instrument"
+   ]
+  },
+  "inert_fields": [
+   "tract",
+   "abnormality_present",
+   "grade",
+   "prep_quality"
+  ],
+  "unmapped_canonical": {
+   "landmark": [
+    "ileum"
+   ],
+   "abnormality_type": [
+    "hemorrhoids",
+    "angiectasia",
+    "esophageal_varices",
+    "barretts"
+   ],
+   "grade": [
+    "<all values>"
+   ],
+   "prep_quality": [
+    "<all values>"
+   ]
+  },
+  "ambiguous_decisions": [
+   {
+    "source": "landmark=gej_zline",
+    "target": "gej + z-line",
+    "rationale": "our schema merged the two; emitting both is what the output asserts, at a precision cost on whichever SAGE did not label"
+   },
+   {
+    "source": "landmark=retroflex_stomach",
+    "target": "stomach + fundus",
+    "rationale": "SAGE's multi-class taxonomy names this view 'fundus-retroflexion'"
+   },
+   {
+    "source": "landmark=ileocecal_valve",
+    "target": "colon",
+    "rationale": "the valve is imaged from the caecum; SAGE has no ileocaecal label"
+   },
+   {
+    "source": "abnormality_type=ulcerative_colitis",
+    "target": "inflammation",
+    "rationale": "SAGE has no UC-specific label; inflammation is its nearest class"
+   },
+   {
+    "source": "abnormality_type=colorectal_cancer",
+    "target": "growth",
+    "rationale": "SAGE's 'growth' covers tumour-like lesions"
+   },
+   {
+    "source": "procedure=*",
+    "target": "instrument",
+    "rationale": "all four procedure values name an instrument-mediated act"
+   }
+  ]
+ },
+ "runs": {
+  "LoRA_r128": {
+   "method": "lora",
+   "rank": 128,
+   "candidates": {
+    "step_000750": {
+     "adapter_dir": "/work/FAC/HEC/DESI/yshresth/ai_health/checkpoints/qwen3_vl_8b_unified/LoRA_r128/step_000750/adapter",
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