razorback16 openjev diffusiongemma (NVFP4, vLLM)
razorback16 openjev diffusiongemma (NVFP4, vLLM) by razorback16 is a decision model: it answers typed questions with a probability for each allowed answer instead of generating text. It scores 40.0 on the Jev Decision Index (rank 82).
Pricing
No hosted price is listed. The weights are open: the cost is your own compute.
Specifications
- Provider
- razorback16
- Parameters
- 26B
- Released
- Sep 2026
- Open weights
- Yes
- Question types
- Choice (one of N options), Score (ordered rubric), Yes / no
- Mechanism
- Diffusion LM
- Backbone
- google/diffusiongemma-26B-A4B-it
- Jev-compatible request
- No
- Runs on CPU
- No
- License
- —
Benchmarks
- Jev Decision IndexECE 0.232
- 40.0
- Jev Decision Indexedition 0.1 (earlier edition)
- 35.6
- DecisionBenchECE 0.228
- 0.684
- Jev Decision Index — VisionECE 0.174
- 47.7
Jev Decision Index: public 37.8, ECE 0.232, Brier 0.600. Lower ECE means its probabilities can be taken at face value.
Speed & latency
Compare razorback16 openjev diffusiongemma (NVFP4, vLLM) with…
FAQ
How much does razorback16 openjev diffusiongemma (NVFP4, vLLM) cost?
razorback16 openjev diffusiongemma (NVFP4, vLLM) has no hosted price listed; its weights are open, so the cost is the compute you run it on.
What questions can razorback16 openjev diffusiongemma (NVFP4, vLLM) answer?
razorback16 openjev diffusiongemma (NVFP4, vLLM) answers choice (one of n options), score (ordered rubric), yes / no questions, returning a probability for each allowed answer.
Is razorback16 openjev diffusiongemma (NVFP4, vLLM) well calibrated?
On the Jev Decision Index its expected calibration error (ECE) is 0.232; below about 0.05, a stated 80% confidence is right roughly 80% of the time.
Is razorback16 openjev diffusiongemma (NVFP4, vLLM) open weight, and can it run on a CPU?
Yes, razorback16 openjev diffusiongemma (NVFP4, vLLM) 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, DecisionBench). Pricing is per 1M tokens (USD); confirm with the provider before production use.