Mapika/decider-2b
text-classification model by Mapika
From the publisher
Model card & documentation
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A language model that does not generate text. It reads a state and one or more typed questions, each with an explicit option list, and returns a probability distribution over the options for every question from one forward pass. There is no decoding, no parsing and no output outside the options you defined. It is called from software, not chatted with. It is an open reproduction of the "System One" model class (TypeSafe AI's Jev). Base model: Qwen/Qwen3.5-2B-Base (1.9B parameters). The supervised stages (v1 to v8) fine-tune it with cross-entropy, a proper scoring rule, on a mixture of about 95 public decision datasets, agent trajectories, web element choice, game states and teacher-written custom questions, in two prompt layouts and with isolated Score levels. This repository holds v10: the v8 weights continued for 384 steps of calibration-aware reinforcement learning whose only rewards are outcomes (live browser task checkers and the exact…
Read the full model card ↗ · Preview checked 2026-09-21T09:45:43.812Z
Inside the original model card — Document outline
- decider-2b: typed decisions with calibrated probabilities in one forward pass
- The decider family
- Usage
- How it works
- Field types
- Training
- Evaluation
- Speed
- Limitations
- Changelog
- Reproduction
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Documentation belongs to its respective authors. Reported project/model license: apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
Model overview
Mapika/decider-2b is a text-classification model repository published by Mapika on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- text-classification
- Library
- Not reported
- Recent downloads (30 days)
- 20,024
- Cumulative likes
- 57
- Hugging Face trending score
- 56
- Reported safetensors parameters
- 1,881,825,088
- Architecture
- Qwen3_5ForCausalLM
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-09-16T07:59:24.000Z
- Last modified
- 2026-09-20T09:40:04.000Z
Compatibility and lineage
Reported languages: en
Reported base models: Qwen/Qwen3.5-2B-Base
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-09-21T06:36:47.722Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.