Jeff-1.0-Large
Jeff-1.0-Large by jgeuter 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
- jgeuter
- 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
- Yes
- Runs on CPU
- No
- License
- cc-by-nc-4.0
- Hugging Face
- jgeuter/Jeff-1.0-Large
Benchmarks
Compare Jeff-1.0-Large with…
FAQ
How much does Jeff-1.0-Large cost?
Jeff-1.0-Large has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can Jeff-1.0-Large answer?
Jeff-1.0-Large answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is Jeff-1.0-Large well calibrated?
No calibration measurement for Jeff-1.0-Large is recorded yet.
Is Jeff-1.0-Large open weight, and can it run on a CPU?
Yes, Jeff-1.0-Large 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 (Benchmark Heaven JevBench, Hugging Face). Pricing is per 1M tokens (USD); confirm with the provider before production use.