typical-large-preview
typical-large-preview by OzLabs is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text.
Pricing
No hosted price is listed. The weights are open: the cost is your own compute.
Specifications
- Provider
- OzLabs
- Parameters
- —
- Released
- Sep 2026
- Open weights
- Yes
- Question types
- Choice (one of N options), Score (ordered rubric), Yes / no
- Mechanism
- Decoder LM with a decision readout
- Backbone
- Qwen/Qwen3-14B-Base
- Jev-compatible request
- Yes
- Runs on CPU
- —
- License
- apache-2.0
- Hugging Face
- OzLabs/typical-large-preview
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FAQ
How much does typical-large-preview cost?
typical-large-preview has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can typical-large-preview answer?
typical-large-preview answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is typical-large-preview well calibrated?
No calibration measurement for typical-large-preview is recorded yet.
Is typical-large-preview open weight, and can it run on a CPU?
Yes, typical-large-preview has open weights.
Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.