docs: HF model card for OpenRAL/rskill-gr00t_n17-franka_panda-libero_spatial-bf16 v0.1.0

README.md

@@ -21,7 +21,7 @@ base_model_relation: finetune
 inference: false
 ---
 
-# rskill-gr00t-n17-libero
+# rskill-gr00t_n17-franka_panda-libero_spatial-bf16
 
 > **OpenRAL rSkill** — NVIDIA Isaac **GR00T N1.7** (3B) finetuned on the
 > [LIBERO](https://libero-project.github.io/) benchmark, packaged for the
@@ -32,11 +32,12 @@ with a `rskill.yaml` manifest that adds capability checking, license
 surfacing, latency budgets, and local registry integration. It does **not**
 copy model weights.
 
-> **Runtime status.** This is a *packaging-and-validation* slice (ADR-0046
-> PR1): the manifest, license posture, and `model_family: gr00t` are wired
-> and tested. The out-of-process runtime adapter (`openral_sim.policies.gr00t`)
-> and the `tools/gr00t_sidecar.py` boot helper land in ADR-0046 PR2, which
-> also produces the locally-reproduced LIBERO eval numbers. Until then the
+> **Runtime status.** This is a *packaging-and-validation* slice (GR00T
+> backend epic PR1): the manifest, license posture, and `model_family: gr00t`
+> are wired and tested. The out-of-process runtime adapter
+> (`openral_sim.policies.gr00t`) and the `tools/gr00t_sidecar.py` boot helper
+> land in GR00T backend epic PR2, which also produces the
+> locally-reproduced LIBERO eval numbers. Until then the
 > skill packages and validates but is gracefully dropped from a live policy
 > palette with an install hint.
 
@@ -61,7 +62,7 @@ the N1.7 base on the LIBERO Franka embodiment.
 
 | Robot | Embodiment tag | Status | Notes |
 |---|---|---|---|
-| Franka Panda (LIBERO sim) | `franka_panda` | packaged | Native finetune embodiment; live eval in ADR-0046 PR2 |
+| Franka Panda (LIBERO sim) | `franka_panda` | packaged | Native finetune embodiment; live eval in GR00T backend epic PR2 |
 
 GR00T exposes a `LIBERO_PANDA` embodiment tag internally; OpenRAL maps it to
 the canonical `franka_panda` embodiment from `robots/`.
@@ -83,13 +84,13 @@ processor pipeline — hence no `processors` block in the manifest.
 
 | Field | Value |
 |---|---|
-| `name` | `OpenRAL/rskill-gr00t-n17-libero` |
+| `name` | `OpenRAL/rskill-gr00t_n17-franka_panda-libero_spatial-bf16` |
 | `version` | `0.1.0` |
 | `license` | `nvidia_open_model` (commercial OK) |
 | `role` | `s1` |
 | `model_family` | `gr00t` |
 | `embodiment_tags` | `franka_panda` |
-| `runtime` | `pytorch` (out-of-process sidecar, ADR-0046) |
+| `runtime` | `pytorch` (out-of-process sidecar) |
 | `quantization.dtype` | `bf16` |
 | `weights_uri` | `hf://nvidia/GR00T-N1.7-LIBERO` |
 | `chunk_size` | 16 |
@@ -101,7 +102,7 @@ Full schema: [`openral_core.schemas.RSkillManifest`](../../python/core/src/openr
 ## Hardware
 
 GR00T N1.7-3B (bf16, ~6 GB weights) plus the Cosmos-Reason VLM does not fit
-on an 8 GB GPU without NF4 quantization; the sidecar (ADR-0046 PR2) follows
+on an 8 GB GPU without NF4 quantization; the sidecar (GR00T backend epic PR2) follows
 the NF4 isolated-venv recipe used by the RLDX and detector sidecars. A
 ≥ 16 GB GPU runs bf16 directly.
 
@@ -114,4 +115,4 @@ are governed by the **NVIDIA Open Model License Agreement**, which permits
 commercial use. This is the key distinction from GR00T N1 / N1.5 / N1.6,
 which ship under the NVIDIA OneWay Noncommercial License and are blocked in
 commercial deployments by the OpenRAL loader unless
-`OPENRAL_ALLOW_NONCOMMERCIAL=1` is set (CLAUDE.md §3, ADR-0046).
+`OPENRAL_ALLOW_NONCOMMERCIAL=1` is set (CLAUDE.md §3).