oscar-1-17m
oscar-1-17m by mgoeckel 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
- mgoeckel
- Parameters
- 19M
- Released
- Sep 2026
- Open weights
- Yes
- Question types
- Choice (one of N options), Score (ordered rubric), Yes / no
- Mechanism
- Encoder classifier
- Backbone
- jhu-clsp/ettin-encoder-17m
- Jev-compatible request
- Yes
- Runs on CPU
- Yes
- License
- apache-2.0
- Hugging Face
- mgoeckel/oscar-1-17m
Self-reported by the publisher
The model's own claims, often on its own sets or a self-run copy of a public suite. Not independently verified and never ranked alongside measured results.
- typed-decisions (official test split, measured by us)Self-reported
- 0.677
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FAQ
How much does oscar-1-17m cost?
oscar-1-17m has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can oscar-1-17m answer?
oscar-1-17m answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is oscar-1-17m well calibrated?
No calibration measurement for oscar-1-17m is recorded yet.
Is oscar-1-17m open weight, and can it run on a CPU?
Yes, oscar-1-17m has open weights. It is small enough to run on a CPU.
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.