NON-COMMERCIAL
Amada decision model
Amada runs typed text decisions on a CPU through ONNX. Read its noncommercial licence, context limits and maker-reported evaluation scope.
By LiamDB · GitHub weight release: 8 Nov 2026
A CPU decision model family. Amada 3.1 uses mmBERT-base to answer yes/no, choice and ordered-score questions, with a separate probability that the text does not provide the answer for yes/no questions. Downloads pair an ONNX model with its tokenizer.
Quick answers
What is Amada by LiamDB?
Amada: A CPU decision model family.
Who makes Amada?
Amada: LiamDB
Facts
- Base
- mmBERT-base for 2.0 and later; ModernBERT-large for 1.0
- Context
- 8,192 tokens for 3.x; 512 for 1.0 and 2.0
- Licence
- CC BY-NC-ND 4.0 for weights and repository code; non-commercial, no redistribution of modified versions
- Access
- Public release ZIP files and Python ONNX runner
Claims and sources
- The maker reports 0.961 yes/no, 0.915 choice and 0.760 score accuracy on short English tests, using GPT-6 Luna labels. Human-labelled public-data results include SST-2 0.899 and Banking77 0.611. Half of the bake-off sets informed calibration, so the figures are not one untouched general benchmark. vendor reportedsource
Links
Source: Code, model description and limits → Source: 3.1 release and weights → Source: Licence →
Related projects
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