Update model card for Llama root and Qwen subfolder adapters

README.md

@@ -17,11 +17,17 @@ pipeline_tag: text-generation
 
 KAU-BioMedLLM is a research prototype for source-grounded biomedical variant interpretation. The current public release contains the LoRA adapter and documentation for a guarded report-generation system built around biomedical evidence retrieval, label-free variant scoring, citation enforcement, and abstention when evidence is insufficient.
 
-This repository does **not** redistribute the full Meta Llama-3.1-8B-Instruct base model. Users must separately have access to the base model according to the Meta Llama 3.1 license terms.
+This repository contains two adapter releases:
+
+- **Root adapter:** Llama-3.1-8B-Instruct v0.2 LoRA adapter, recommended baseline for report generation.
+- **`qwen_v0_1/` adapter:** Qwen2.5-1.5B-Instruct v0.1 LoRA adapter, lightweight prototype/demo fallback.
+
+This repository does **not** redistribute full Llama or Qwen base model weights. Users must separately load the relevant base model according to its license terms.
 
 ## Table of Contents
 
 - [Model Details](#model-details)
+- [Repository Layout](#repository-layout)
 - [Model Description](#model-description)
 - [System Overview](#system-overview)
 - [Uses](#uses)
@@ -49,6 +55,15 @@ This repository does **not** redistribute the full Meta Llama-3.1-8B-Instruct ba
 - **Release type:** Research-use adapter release
 - **Clinical status:** Not clinically validated; not for diagnosis, treatment, or patient-management decisions
 
+## Repository Layout
+
+| Path | Adapter | Base model | Intended role |
+|---|---|---|---|
+| repository root | Llama v0.2 LoRA | `meta-llama/Llama-3.1-8B-Instruct` | Recommended report-generation baseline |
+| `qwen_v0_1/` | Qwen v0.1 LoRA | `Qwen/Qwen2.5-1.5B-Instruct` | Lightweight prototype and demo fallback |
+
+The root adapter is kept as the primary Hugging Face adapter so standard PEFT loading with `Babajaan/KAU-BioMedLLM` loads the Llama v0.2 adapter. The Qwen adapter is included in the same repository under `qwen_v0_1/` to avoid maintaining a second model repo.
+
 ## Model Description
 
 KAU-BioMedLLM was developed as part of a broader biomedical AI project to generate structured, source-grounded variant interpretation reports. The system combines two deliberately separated components:
@@ -251,7 +266,9 @@ Full guarded report examples and summaries are included in the repository under
 - Generated text can still contain errors and must be reviewed by domain experts.
 - The uploaded artifact is an adapter, not a standalone full model.
 
-## How to Load the Adapter
+## How to Load the Adapters
+
+### Llama v0.2 Adapter
 
 ```python
 from transformers import AutoModelForCausalLM, AutoTokenizer
@@ -299,6 +316,33 @@ with torch.no_grad():
 print(tokenizer.decode(outputs[0], skip_special_tokens=True))
 ```
 
+### Qwen v0.1 Adapter
+
+The Qwen adapter is stored in the same repository under `qwen_v0_1/`. Use it for lightweight demos when Llama-3.1-8B hardware is unavailable.
+
+```python
+from transformers import AutoModelForCausalLM, AutoTokenizer
+from peft import PeftModel
+import torch
+
+base_model = "Qwen/Qwen2.5-1.5B-Instruct"
+adapter_model = "Babajaan/KAU-BioMedLLM"
+adapter_subfolder = "qwen_v0_1"
+
+tokenizer = AutoTokenizer.from_pretrained(base_model)
+model = AutoModelForCausalLM.from_pretrained(
+    base_model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+model = PeftModel.from_pretrained(
+    model,
+    adapter_model,
+    subfolder=adapter_subfolder,
+)
+model.eval()
+```
+
 ## Compute Infrastructure
 
 The project was developed and evaluated using the King Abdulaziz University Aziz High Performance Computing environment. The workflow used the Aziz HPC software environment, PBS job scheduling, and GPU resources including A100 GPU jobs where available.
@@ -332,4 +376,4 @@ Suggested acknowledgement:
 
 ## License and Base Model Notes
 
-This repository contains a LoRA adapter and project documentation. It does not redistribute the full Llama base model. Use of the adapter with `meta-llama/Llama-3.1-8B-Instruct` is subject to the Meta Llama 3.1 Community License and Acceptable Use Policy. Qwen-derived prototype artifacts are subject to Qwen license terms. Users are responsible for verifying license compatibility for their own use case.
+This repository contains LoRA adapters and project documentation. It does not redistribute full Llama or Qwen base model weights. Use of the root adapter with `meta-llama/Llama-3.1-8B-Instruct` is subject to the Meta Llama 3.1 Community License and Acceptable Use Policy. Use of the `qwen_v0_1/` adapter with `Qwen/Qwen2.5-1.5B-Instruct` is subject to Qwen license terms. Users are responsible for verifying license compatibility for their own use case.