Rename model to JIS-124M

LICENSE

@@ -1,4 +1,4 @@
-JIS model release — TuanPhat/JIS
+JIS-124M model release — TuanPhat/JIS-124M
 
 Original JIS code: MIT. GPT-2 backbone: MIT. Parent d1-3B teacher attribution and inherited training-data notices follow. These notices do not relicense all derived artifacts under a single license.
 

README.md

@@ -20,9 +20,9 @@ tags:
 - custom-code
 ---
 
-# JIS
+# JIS-124M
 
-JIS is a **124M-parameter decision model** for text and JSON. Give it a state and
+JIS-124M is a **124M-parameter decision model** for text and JSON. Give it a state and
 typed questions; it returns candidate probabilities, a selected option, or an
 expected rubric score without generating text.
 
@@ -32,7 +32,7 @@ expected rubric score without generating text.
 
 ## Model details
 
-| Property | JIS |
+| Property | JIS-124M |
 | --- | --- |
 | Backbone | GPT-2-derived, affine Pre-RMSNorm, shared candidate scorer |
 | Layers / hidden size | 12 / 768 |
@@ -56,7 +56,7 @@ import torch
 from transformers import AutoModel
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-model = AutoModel.from_pretrained("TuanPhat/JIS", trust_remote_code=True).to(device).eval()
+model = AutoModel.from_pretrained("TuanPhat/JIS-124M", trust_remote_code=True).to(device).eval()
 
 questions = {
     "team": {
@@ -95,7 +95,7 @@ Both models were measured locally with their released calibration settings.
 
 | Model | Parameters | Accuracy ↑ | KL ↓ | Brier ↓ | ECE ↓ |
 | --- | ---: | ---: | ---: | ---: | ---: |
-| **JIS v3** | **124M** | **53.70%** | **0.28328** | **0.15499** | **0.07016** |
+| **JIS-124M** | **124M** | **53.70%** | **0.28328** | **0.15499** | **0.07016** |
 | [Laya](https://huggingface.co/convaiinnovations/laya) | 421M | 36.35% | 0.57207 | 0.31545 | 0.17262 |
 
 ### Speed and memory
@@ -105,7 +105,7 @@ calls with five questions per case.
 
 | Model | Median latency | p95 latency | Peak allocated GPU memory |
 | --- | ---: | ---: | ---: |
-| JIS v3 | 177.7 ms | 254.7 ms | **512 MiB** |
+| JIS-124M | 177.7 ms | 254.7 ms | **512 MiB** |
 | Laya | **115.5 ms** | **152.0 ms** | 2,389 MiB |
 
 ## Contact
@@ -115,11 +115,11 @@ Nguyen Huu Tuan Phat — [tuanphatnguyenhuu@gmail.com](mailto:tuanphatnguyenhuu@
 ## Citation
 
 ```bibtex
-@misc{nguyen2026jis,
+@misc{nguyen2026jis124m,
   author = {Nguyen Huu Tuan Phat},
-  title = {JIS: A Compact Typed Decision Model},
+  title = {JIS-124M: A Compact Typed Decision Model},
   year = {2026},
-  url = {https://huggingface.co/TuanPhat/JIS}
+  url = {https://huggingface.co/TuanPhat/JIS-124M}
 }
 ```
 

config.json

@@ -80,6 +80,6 @@
     "gate_evidence": "Wilson lower on decisions AND groups with all accepted questions correct",
     "policy": "Scores and validation gates are signals; application owns final actions. No teacher fallback."
   },
-  "model_name": "JIS",
+  "model_name": "JIS-124M",
   "author": "Nguyen Huu Tuan Phat"
 }