Use concise Vela Omni model names

README.md

@@ -32,7 +32,7 @@ Vela Omni Nano maps text, images, and speech into a shared embedding space for m
 
 Scores use a 0–100 scale; higher is better. All applicable models use the same examples and retrieval pools. N/A denotes a modality the text-only model does not support.
 
-| Metric | [Vela-1.0-Encoder-307M-Embedding](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Embedding) | [multi-modal-embed-small](https://huggingface.co/llm-semantic-router/multi-modal-embed-small) | [multi-modal-embed-large](https://huggingface.co/llm-semantic-router/multi-modal-embed-large) | [Vela-1.0-Omni-134M-Nano](https://huggingface.co/llm-semantic-router/Vela-1.0-Omni-134M-Nano) |
+| Metric | [Vela-1.0-Encoder-307M-Embedding](https://huggingface.co/llm-semantic-router/Vela-1.0-Encoder-307M-Embedding) | [multi-modal-embed-small](https://huggingface.co/llm-semantic-router/multi-modal-embed-small) | [multi-modal-embed-large](https://huggingface.co/llm-semantic-router/multi-modal-embed-large) | [Vela-1.0-Omni-Nano](https://huggingface.co/llm-semantic-router/Vela-1.0-Omni-Nano) |
 |---|---:|---:|---:|---:|
 | Banking77 · Accuracy | 80.00 | 70.42 | 75.78 | 70.42 |
 | MASSIVE English · Accuracy | 75.64 | 65.95 | 72.31 | 65.95 |
@@ -63,7 +63,7 @@ Use PyTorch, Transformers 4.57.6, Hugging Face Hub, safetensors, NumPy, and Pill
 import sys
 from huggingface_hub import snapshot_download
 
-path = snapshot_download("llm-semantic-router/Vela-1.0-Omni-134M-Nano")
+path = snapshot_download("llm-semantic-router/Vela-1.0-Omni-Nano")
 sys.path.insert(0, path)
 from vela_omni import VelaOmni
 

scores.json

@@ -1,6 +1,6 @@
 {
   "schema_version": 1,
-  "model": "llm-semantic-router/Vela-1.0-Omni-134M-Nano",
+  "model": "llm-semantic-router/Vela-1.0-Omni-Nano",
   "revision_semantics": "self denotes the Hugging Face snapshot containing this file; the native artifact fingerprint binds its evaluated model files.",
   "score_scale": "0-1; multiply by 100 for percentages",
   "matrix": {
@@ -180,7 +180,7 @@
       }
     },
     "candidate": {
-      "model": "llm-semantic-router/Vela-1.0-Omni-134M-Nano",
+      "model": "llm-semantic-router/Vela-1.0-Omni-Nano",
       "revision": "self",
       "artifact_fingerprint_sha256": "32f410c3febdbd02e3f790b907db482e4ae1d493e6a1c4eaab375ebada234f8b",
       "metrics": {
@@ -318,7 +318,7 @@
   },
   "paired_uncertainty": {
     "comparison": {
-      "candidate": "llm-semantic-router/Vela-1.0-Omni-134M-Nano",
+      "candidate": "llm-semantic-router/Vela-1.0-Omni-Nano",
       "baseline": "llm-semantic-router/multi-modal-embed-small"
     },
     "seed": 20260918,