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README.md

@@ -1,3 +1,33 @@
 ---
-license: cc-by-4.0
+library_name: peft
+base_model: microsoft/llava-rad
+pipeline_tag: image-text-to-text
+tags:
+- radiology
+- chest-x-ray
+- llava
+- lora
+- contrastive-decoding
 ---
+
+# CWCD adapters
+
+This model repository contains the eight category-specific rank-1 LoRA adapters for **CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation**.
+
+Inference code and usage instructions are maintained at [`shantamsrivastava/CWCD`](https://github.com/shantamsrivastava/CWCD).
+
+```text
+adapters/
+├── abdominal/
+├── cardiovascular/
+├── hila/
+├── lungs/
+├── other/
+├── pleura/
+├── tubes/
+└── wall/
+```
+
+Each directory contains `adapter_config.json` and `adapter_model.bin`. The GitHub inference script downloads these files through `huggingface_hub.snapshot_download()` and combines the eight category-wise findings into a structured findings report.
+
+> Research use only. CWCD is not a medical device and is not a substitute for review by a qualified clinician.

adapters/abdominal/adapter_config.json

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+{
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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.0,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 1,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapters/abdominal/adapter_model.bin

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adapters/cardiovascular/adapter_config.json

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+{
+  "alpha_pattern": {},
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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.0,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 1,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapters/cardiovascular/adapter_model.bin

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adapters/hila/adapter_config.json

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+{
+  "alpha_pattern": {},
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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.0,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 1,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "q_proj",
+    "v_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapters/hila/adapter_model.bin

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adapters/lungs/adapter_config.json

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+{
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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "lora_alpha": 8,
+  "lora_dropout": 0.0,
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "r": 1,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "task_type": "CAUSAL_LM"
+}

adapters/lungs/adapter_model.bin

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adapters/other/adapter_config.json

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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
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+  "lora_alpha": 8,
+  "lora_dropout": 0.0,
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+  "target_modules": [
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+    "v_proj"
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+}

adapters/other/adapter_model.bin

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adapters/pleura/adapter_config.json

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+{
+  "alpha_pattern": {},
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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
+  "bias": "none",
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+  "inference_mode": true,
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+}

adapters/pleura/adapter_model.bin

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adapters/tubes/adapter_config.json

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+{
+  "alpha_pattern": {},
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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
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+}

adapters/tubes/adapter_model.bin

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adapters/wall/adapter_config.json

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+  "alpha_pattern": {},
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+  "base_model_name_or_path": "lmsys/vicuna-7b-v1.5",
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+    "v_proj",
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+  "task_type": "CAUSAL_LM"
+}

adapters/wall/adapter_model.bin

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