Document dinov3_config.json -- no Meta gate needed to load this model

README.md

@@ -71,7 +71,10 @@ python predict.py --input_dir <path/to/images> --output results.json
 ```
 
 This repo is **private** — pass a token (`from_pretrained(hf_token="hf_...")`
-or set `HF_TOKEN`/run `huggingface-cli login`) to access it.
+or set `HF_TOKEN`/run `huggingface-cli login`) to access it. Getting access
+here is the *only* gate: unlike the base DINOv3 checkpoint
+(`facebook/dinov3-vith16plus-pretrain-lvd1689m`, gated with **manual review**
+by Meta), loading this model never touches that repo at all — see `Files`.
 
 ## Files
 
@@ -80,6 +83,10 @@ or set `HF_TOKEN`/run `huggingface-cli login`) to access it.
   into its weights (`peft`'s `merge_and_unload()`, verified numerically
   exact before shipping — max output difference vs. the pre-merge model was
   1e-12, pure floating-point noise), plus the Low-Rank Attention Block and
-  classifier head. Nothing else needs downloading from anywhere else to run
-  this model — no separate adapter file, no separate backbone-weights
-  download from another HF repo.
+  classifier head.
+- `dinov3_config.json` — DINOv3's architecture metadata (hidden size, layer
+  count, etc.) mirrored here, **not its weights**. Together with
+  `mlorc-full.pt` this means loading the model never needs access to
+  `facebook/dinov3-vith16plus-pretrain-lvd1689m` at all — verified with that
+  repo's local cache deliberately removed before loading, output still
+  bit-identical. No adapter file, no second HF repo, no Meta gate to clear.