Add LoRA adapter card

lora_backbone/README.md

@@ -1,8 +1,8 @@
 ---
-base_model: google/gemma-4-e2b-it
+base_model: google/gemma-4-E2B-it
 library_name: peft
 tags:
-  - base_model:adapter:google/gemma-4-e2b-it
+  - base_model:adapter:google/gemma-4-E2B-it
   - lora
   - peft
   - classone
@@ -11,15 +11,15 @@ tags:
 
 # LoRA Adapter — classone-gemma4-e2b
 
-PEFT LoRA adapter for **[devops-thiago/classone-gemma4-e2b](https://huggingface.co/devops-thiago/classone-gemma4-e2b)**, the ClassOne System 1 decision model built on [`google/gemma-4-e2b-it`](https://huggingface.co/google/gemma-4-e2b-it).
+PEFT LoRA adapter for **[devops-thiago/classone-gemma4-e2b](https://huggingface.co/devops-thiago/classone-gemma4-e2b)**, the ClassOne System 1 decision model built on [`google/gemma-4-E2B-it`](https://huggingface.co/google/gemma-4-E2B-it).
 
-This subfolder holds only the low-rank adapter weights. The Noul / Choice / Score decision heads live in `classone_heads.pt` at the repository root — load both.
+This subfolder holds only the low-rank adapter weights. The merged standalone weights live at the repository root, and the Noul / Choice / Score decision heads live in `classone_heads.pt` — load the heads alongside whichever backbone form you use.
 
 ## Adapter Configuration
 
 | Setting | Value |
 |---|---|
-| Base model | `google/gemma-4-e2b-it` |
+| Base model | `google/gemma-4-E2B-it` |
 | PEFT type | LORA |
 | Rank (r) | 16 |
 | `lora_alpha` | 32 |
@@ -34,7 +34,7 @@ This subfolder holds only the low-rank adapter weights. The Noul / Choice / Scor
 from peft import PeftModel
 from transformers import AutoModel
 
-base = AutoModel.from_pretrained("google/gemma-4-e2b-it")
+base = AutoModel.from_pretrained("google/gemma-4-E2B-it")
 model = PeftModel.from_pretrained(base, "devops-thiago/classone-gemma4-e2b", subfolder="lora_backbone")
 ```
 
@@ -42,5 +42,5 @@ For end-to-end decision inference (packing questions, calibrated outputs), see t
 
 ## Attribution & Legal
 
-- Base model: [google/gemma-4-e2b-it](https://huggingface.co/google/gemma-4-e2b-it) — subject to the [Gemma Terms of Use](https://ai.google.dev/gemma/terms)
+- Base model: [google/gemma-4-E2B-it](https://huggingface.co/google/gemma-4-E2B-it) (Google) — Apache License 2.0
 - Architecture: [devops-thiago/class-one](https://github.com/devops-thiago/class-one) — Apache 2.0