Clarify step 010626 release files and legacy baseline

README.md

@@ -18,7 +18,13 @@ tags:
 
 mini-Jev is a **0.6B agentic decision model specialized for finite-choice tool and action selection**. Give it a state, a question, and candidate actions; it returns a probability for each candidate. It uses a Qwen3-0.6B backbone with an adapter and a compact decision head. Candidate scoring is permutation equivariant, and the model returns finite-choice probabilities rather than generated text or tool arguments.
 
-This is an **early 10,626-update checkpoint**. Training is planned through 50,000 updates; more training and broader decision supervision are coming. This release candidate is not the final checkpoint.
+This is an **early 10,626-update checkpoint**. Training is planned through 50,000 updates; more training and broader decision supervision are coming. This interim release is not the final checkpoint.
+
+## Release files and revisions
+
+The current [`step-010626`](https://huggingface.co/samatv256/mini-Jev/tree/step-010626) checkpoint loads its adapter from [`adapter/`](adapter/), its decision-head weights from [`decision_head.safetensors`](decision_head.safetensors), and its inference loader from [`inference.py`](inference.py). Use these with `config.json` and the separately downloaded Qwen3-0.6B base model.
+
+The retained root `model.safetensors` and `odm_mini.py` belong to the previous v1 baseline. They are preserved only for history and backward reference; they are not the step 10,626 weights or loader. To use that baseline, pin the [previous revision](https://huggingface.co/samatv256/mini-Jev/tree/02acc03cc28ec0b99705a8459ea987274fa7987f).
 
 ## Measured results