Total runs:
32.7K
Run Growth:
-2.6K
Growth Rate:
-8.04%
Sponsored by
Vmake Labs Video Enhancer
llm-semantic-router / Decision-1.0-Lex
Model's Last Updated: September 22 2026
text-classification
Introduction of Decision-1.0-Lex
Model Details of Decision-1.0-Lex
Decision-1.0-Lex
Lex — Latin for law. Give your decisions a rule.
Your move.
Turn operational context into structured decisions. Lex is a specialist fine-tuned from Kai to select actions, test conditions and apply scoring rubrics across four English workflows.
572M parameters · Three decision types · Complete 1K · Fine-tunable
Apache 2.0 · No access request · Try Decision Studio · Decision collection .
A sharper specialist
78.15% accuracy — 1.55 points above Laya Typed Decisions.
Both models were evaluated on the original 2,000-decision typed-decisions test split, with complete inputs and the official fine-tuned Laya checkpoint. Lex answers 31 more decisions correctly .
| Test accuracy | Lex | Laya Typed Decisions |
|---|---|---|
| Overall | 78.15% | 76.60% |
| Choice · 600 decisions | 74.00% | 73.33% |
| Noul · 600 decisions | 84.67% | 85.67% |
| Score · 800 decisions | 76.38% | 72.25% |
Observed accuracy gain; the paired 95% interval is −0.20 to +3.15 points. Laya leads on Noul and probability-quality metrics. Full evaluation .
Built for operational decisions
| Customer service | Invoice processing | Security incidents | Agent traces |
|---|---|---|---|
| Select an action or escalation. | Check conditions and route exceptions. | Assess a signal against a rubric. | Classify outcomes and flag issues. |
Supply the context, question and candidate descriptions at runtime. Choice returns candidate probabilities, Noul estimates whether a condition holds, and Score returns an ordered distribution and expected value. Applications choose how to act on those outputs.
Lex is evaluated as an English specialist on these four workflows. For broader multilingual tasks, explore the general Kai model .
Optional larger batches:
predict_auto_1k
uses up to 32 same-type questions when padding does not increase. Earlier B8/B32 comparisons showed approximately 23% lower median latency for 32 short questions and 35% for the multi-context fixture; the final guard was validated separately, not timed.
Usage and measurements
.
Make it yours
One state. Many decisions. Use the System One API to submit up to 128 typed questions, or batch the same questions across independent contexts. Results return under your original question IDs.
Run the Python examples , or adapt Lex to your own labels and rubrics with the included fine-tuning CLI . Both hard and soft training labels are supported, with checkpoint resume.
The complete 1,024-token budget includes context, instructions, all candidates and special tokens. Overlength requests return an error. Native Choice and Score support 2–255 candidates or ordered levels; the System One and Studio interfaces use 2–10 Score levels.
Architecture
Three 22-layer bidirectional encoder paths share multilingual input embeddings, with separate interaction layers and candidate readouts for Choice, Noul and Score. Lex retains Kai's architecture and specializes its weights through supervised fine-tuning.
Architecture details · Training and methods
Built on Kai and Vela Encoder . Probabilities are not calibrated confidence; candidate order and task wording can affect outputs. Attribution and retained third-party terms · License scope .
Runs of llm-semantic-router Decision-1.0-Lex on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About Decision-1.0-Lex huggingface.co Model
Url of Decision-1.0-Lex
Decision-1.0-Lex huggingface.co Url
Provider of Decision-1.0-Lex huggingface.co
Other API from llm-semantic-router
Updated:March 06 2026
Total runs:
11.8K
Run Growth:
3.5K
Growth Rate:
29.58%
Total runs:
11.1K
Run Growth:
11.1K
Growth Rate:
99.61%
Total runs:
7.9K
Run Growth:
1.8K
Growth Rate:
23.51%
Total runs:
7.3K
Run Growth:
3.5K
Growth Rate:
47.65%
Total runs:
7.2K
Run Growth:
779
Growth Rate:
10.86%
Total runs:
6.2K
Run Growth:
542
Growth Rate:
8.75%
Total runs:
5.4K
Run Growth:
2.2K
Growth Rate:
39.95%
Total runs:
3.1K
Run Growth:
3.1K
Growth Rate:
100.00%
Total runs:
2.6K
Run Growth:
-5.0K
Growth Rate:
-192.44%
Total runs:
2.2K
Run Growth:
147
Growth Rate:
6.71%
Total runs:
1.7K
Run Growth:
236
Growth Rate:
13.58%
Total runs:
1.7K
Run Growth:
1.7K
Growth Rate:
100.00%
Total runs:
1.6K
Run Growth:
-22
Growth Rate:
-1.42%
Total runs:
1.6K
Run Growth:
249
Growth Rate:
16.05%
Total runs:
1.2K
Run Growth:
596
Growth Rate:
48.06%
Total runs:
1.1K
Run Growth:
389
Growth Rate:
34.67%
Total runs:
749
Run Growth:
76
Growth Rate:
10.15%
Total runs:
714
Run Growth:
35
Growth Rate:
4.90%
Total runs:
448
Run Growth:
157
Growth Rate:
35.04%
Total runs:
424
Run Growth:
-96
Growth Rate:
-22.64%
Total runs:
396
Run Growth:
-17
Growth Rate:
-4.29%
Total runs:
325
Run Growth:
-298
Growth Rate:
-91.69%
Total runs:
296
Run Growth:
251
Growth Rate:
84.80%
Total runs:
266
Run Growth:
-210
Growth Rate:
-78.95%
Total runs:
197
Run Growth:
-213
Growth Rate:
-108.12%
Total runs:
153
Run Growth:
-191
Growth Rate:
-124.84%
Total runs:
151
Run Growth:
121
Growth Rate:
80.13%
Total runs:
151
Run Growth:
0
Growth Rate:
0.00%
Total runs:
149
Run Growth:
-203
Growth Rate:
-136.24%
Total runs:
131
Run Growth:
27
Growth Rate:
20.61%
Total runs:
128
Run Growth:
128
Growth Rate:
100.00%
Total runs:
121
Run Growth:
121
Growth Rate:
100.00%
Total runs:
117
Run Growth:
30
Growth Rate:
25.64%
Total runs:
112
Run Growth:
112
Growth Rate:
100.00%
Total runs:
106
Run Growth:
94
Growth Rate:
88.68%
Total runs:
100
Run Growth:
100
Growth Rate:
100.00%
Total runs:
88
Run Growth:
88
Growth Rate:
100.00%
Total runs:
83
Run Growth:
-139
Growth Rate:
-167.47%
Total runs:
82
Run Growth:
-144
Growth Rate:
-175.61%
Total runs:
81
Run Growth:
41
Growth Rate:
50.62%
Total runs:
77
Run Growth:
-82
Growth Rate:
-106.49%
Total runs:
77
Run Growth:
77
Growth Rate:
100.00%
Total runs:
63
Run Growth:
58
Growth Rate:
92.06%
Total runs:
55
Run Growth:
18
Growth Rate:
32.73%
Total runs:
44
Run Growth:
28
Growth Rate:
63.64%
Total runs:
39
Run Growth:
24
Growth Rate:
61.54%
Total runs:
38
Run Growth:
-37
Growth Rate:
-97.37%
Total runs:
31
Run Growth:
17
Growth Rate:
54.84%
Total runs:
30
Run Growth:
-6
Growth Rate:
-20.00%
Total runs:
30
Run Growth:
16
Growth Rate:
53.33%
Total runs:
29
Run Growth:
12
Growth Rate:
41.38%
Total runs:
28
Run Growth:
-222
Growth Rate:
-792.86%
Total runs:
26
Run Growth:
8
Growth Rate:
30.77%
Total runs:
25
Run Growth:
-6
Growth Rate:
-24.00%
Total runs:
25
Run Growth:
1
Growth Rate:
4.00%
Total runs:
23
Run Growth:
7
Growth Rate:
30.43%
Total runs:
23
Run Growth:
8
Growth Rate:
34.78%
Total runs:
23
Run Growth:
-50
Growth Rate:
-217.39%
Total runs:
20
Run Growth:
-14
Growth Rate:
-70.00%
Total runs:
20
Run Growth:
20
Growth Rate:
100.00%
Total runs:
19
Run Growth:
15
Growth Rate:
78.95%
Total runs:
16
Run Growth:
1
Growth Rate:
6.25%
Total runs:
12
Run Growth:
0
Growth Rate:
0.00%
Total runs:
9
Run Growth:
6
Growth Rate:
66.67%
Total runs:
9
Run Growth:
5
Growth Rate:
55.56%
Total runs:
7
Run Growth:
-21
Growth Rate:
-300.00%
Total runs:
7
Run Growth:
3
Growth Rate:
42.86%
Total runs:
4
Run Growth:
-15
Growth Rate:
-375.00%
Total runs:
4
Run Growth:
-6
Growth Rate:
-150.00%
Total runs:
4
Run Growth:
-2
Growth Rate:
-50.00%
Total runs:
4
Run Growth:
1
Growth Rate:
25.00%
Total runs:
4
Run Growth:
-2
Growth Rate:
-50.00%
Total runs:
1
Run Growth:
0
Growth Rate:
0.00%
Total runs:
1
Run Growth:
-1
Growth Rate:
-100.00%
Total runs:
1
Run Growth:
-10
Growth Rate:
-1000.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%
Total runs:
0
Run Growth:
0
Growth Rate:
0.00%