Skip to content

AnyJev L0 · Gemma-4-31B

morriszjmDecision modelOpen weights

AnyJev L0 · Gemma-4-31B by morriszjm is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 60.2 on the Jev Decision Index (rank 5).

Pricing

No hosted price is listed. The weights are open: the cost is your own compute.

Specifications

Provider
morriszjm
Parameters
31B
Released
Oct 2026
Open weights
Yes
Question types
Choice (one of N options), Score (ordered rubric), Yes / no
Mechanism
Decoder LM with a decision readout
Backbone
google/gemma-4-31B-it
Jev-compatible request
No
Runs on CPU
No
License
apache-2.0
Hugging Face
morriszjm/AnyJev-L0-Gemma-4-31B

Benchmarks

Jev Decision IndexECE 0.240
60.2

Jev Decision Index: public 59.8, ECE 0.240, Brier 0.498. Lower ECE means its probabilities can be taken at face value.

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.

Jev Decision Index public suite (self-run)Self-reportedDecision Index public balanced skill, edition 0.3 kit (release-v3), self-run
59.8

Speed & latency

Median latency per call (Decision Index)
98 ms

Compare AnyJev L0 · Gemma-4-31B with…

FAQ

How much does AnyJev L0 · Gemma-4-31B cost?

AnyJev L0 · Gemma-4-31B has no hosted price listed; its weights are open, so the cost is the compute you run it on.

What questions can AnyJev L0 · Gemma-4-31B answer?

AnyJev L0 · Gemma-4-31B answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.

Is AnyJev L0 · Gemma-4-31B well calibrated?

On the Jev Decision Index its expected calibration error (ECE) is 0.240; below about 0.05, a stated 80% confidence is right roughly 80% of the time.

Is AnyJev L0 · Gemma-4-31B open weight, and can it run on a CPU?

Yes, AnyJev L0 · Gemma-4-31B has open weights. It needs a GPU to run at useful speed.

Data as of 2026-10-14. Source: Metatext decision-model catalogue, 2026-10-14 (Jev Decision Index, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.