HEAD TO HEAD

laya-noulxp-gpu vs wald

Q: Can I run laya-noulxp-gpu or wald locally?

Yes, both: systemone pull convai-innovations/laya-noulxp-gpu and systemone pull org2ai/wald download the weights.

Convai Innovations: laya-noulxp-gpu and ORG2 AI: wald, compared on what they decide, where they run, what they cost and what their publishers report.

The short version

Both have open weights you can download and run.
Both answer choice, score, noul, classify and route questions.
wald reads up to 128K tokens of state, against 512 tokens for laya-noulxp-gpu.
laya-noulxp-gpu is the smaller model, at 421M parameters to 4.2B.

Property	convai-innovations/laya-noulxp-gpu	org2ai/wald
Summary	Unofficial NoulXP package of Convai Innovations' Laya (English) (Apache-2.0), fp16: checked against the model's own answers, none changed. Not made by Convai Innovations.	A 4B decision model fine-tuned from Qwen3.5-4B-Base. A state and typed questions (choice, yes/no, score) go in; a temperature-calibrated probability for every option comes out of one pass, through a self-hosted /v1/systemone-compatible server. Apache-2.0 weights and code.
Decides	choice, score, noul, classify, route	choice, score, noul, classify, route
Architecture	laya	wald
Fine-tuned from	convai-innovations/laya	qwen/qwen3.5-4b-base
License	apache-2.0	apache-2.0
Availability	Open weights	Open weights
Hosted by	—	—
Input price	—	—
Decision accuracy	—	88.3%
Calibration error	—	0.045
Valid action rate	—	—
Median latency	—	33 ms
p95 latency	—	168 ms
Evaluation suite

Figures are from each model’s manifest; accuracy and latency are what the publishers report, on their own suites and hardware. Add a third model.

Questions

What is the difference between laya-noulxp-gpu and wald?

laya-noulxp-gpu is from Convai Innovations and wald from ORG2 AI. Both have open weights you can download and run. Both answer choice, score, noul, classify and route questions. wald reads up to 128K tokens of state, against 512 tokens for laya-noulxp-gpu. laya-noulxp-gpu is the smaller model, at 421M parameters to 4.2B.

Which is more accurate, laya-noulxp-gpu or wald?

Only wald publishes an accuracy figure (88.3% on JevBench public set (231 items; 204 correct), maker's run with the JevBench CLI, v1.2, effort none; items used as a development scoreboard); laya-noulxp-gpu does not, so there is no comparison to make without your own test.

Which is cheaper, laya-noulxp-gpu or wald?

laya-noulxp-gpu: Free (open weights). wald: Free (open weights). Open weights cost nothing per call beyond your own hardware.

Can I run laya-noulxp-gpu or wald locally?

Yes, both: systemone pull convai-innovations/laya-noulxp-gpu and systemone pull org2ai/wald download the weights.