DecisionTune's 395M decision model: ModernBERT-large fine-tuned with a 4 KB scoring head that scores a marker per option, answering a choice or yes/no question in one encoder pass with a probability for every option. Runs locally on CPU or GPU via PyTorch, MLX or ONNX.
A 149.6M ModernBERT-base cross-encoder with a scalar head that picks an agent's next action or tool from labels and descriptions you supply. Each option is scored against the state and a softmax ranks the set; no text is generated. Experimental preview, not calibrated.
Decides
choice, noul, route, classify
choice, rank, route
Architecture
decisiontune
modernjev
Fine-tuned from
answerdotai/modernbert-large
answerdotai/modernbert-base
License
apache-2.0
apache-2.0
Availability
Open weights
Open weights
Hosted by
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Input price
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Decision accuracy
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73.4%
Calibration error
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Valid action rate
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Median latency
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p95 latency
Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.
Questions
What is the difference between decisiontune and modernjev-decide?
decisiontune is from DecisionTune and modernjev-decide from Maziyar Panahi. Both have open weights you can download and run. Both answer choice and route questions. Only decisiontune answers noul and classify. Only modernjev-decide answers rank. decisiontune reads up to 8K tokens of state, against 4K tokens for modernjev-decide. modernjev-decide is the smaller model, at 150M parameters to 395M.
Which is more accurate, decisiontune or modernjev-decide?
Only modernjev-decide publishes an accuracy figure (73.4% on AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split)); decisiontune does not, so there is no comparison to make without your own test.
Which is cheaper, decisiontune or modernjev-decide?
decisiontune: Free (open weights). modernjev-decide: Free (open weights). Open weights cost nothing per call beyond your own hardware.
Can I run decisiontune or modernjev-decide locally?
Yes, both: systemone pull decision-tune/decisiontune and systemone pull maziyar-panahi/modernjev-decide download the weights.
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Evaluation suite
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AgentToolDecisions-180K held-out test, next action type (1,158 decisions, 3 choices; the maker's split)
