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laya is an open-weight model for text classification from Verdict, released under Apache License 2.0. Its published files total 1.7 GB.
The Laya System One decision model, exported to ONNX fp32 and packaged for Verdict -- a high-performance serving engine for System One decision models. Serve it with one command: Pick the image that matches the host.
By Verdict, published under apache-2.0, revision c9fc09709ee9.
The Laya System One decision model, exported to ONNX fp32 and packaged for Verdict -- a high-performance serving engine for System One decision models. Serve it with one command: Pick the image that matches the host. The -v mounts cache the model, so only the first run downloads it. Add -e VERDICTUSEMODELSCOPE=1 and use sgyaqing/laya to fetch from ModelScope instead of the hub; add -e HFENDPOINT=https://hf-mirror.com if the hub is slow or unreachable. Endpoints: the standard decision protocols POST /v1/systemone and POST /v1/decisions, native POST /v1/choice | /v1/score | /v1/noul, plus an OpenAI-compatible layer (/v1/chat/completions, /v1/models). Measured on one machine (RTX 4090, AMD…
The Laya System One decision model, exported to ONNX fp32 and packaged for Verdict -- a high-performance serving engine for System One decision models. Serve it with one command:
Pick the image that matches the host. The -v mounts cache the model, so only the first
run downloads it.
# CPU host
docker run --rm -p 8080:8080 \
-v ~/.cache/verdict:/root/.cache/verdict \
sgyaqing/verdict:0.2.0-cpu serve verdict-models/laya --host 0.0.0.0
# GPU host
docker run --rm --gpus all -p 8080:8080 \
-v ~/.cache/verdict:/root/.cache/verdict \
sgyaqing/verdict:0.2.0-cuda serve verdict-models/laya --host 0.0.0.0
Add -e VERDICT_USE_MODELSCOPE=1 and use sgyaqing/laya to fetch from ModelScope instead of
the hub; add -e HF_ENDPOINT=https://hf-mirror.com if the hub is slow or unreachable.
Endpoints: the standard decision protocols POST /v1/systemone and POST /v1/decisions, native POST /v1/choice | /v1/score | /v1/noul, plus an OpenAI-compatible layer (/v1/chat/completions, /v1/models).
Measured on one machine (RTX 4090, AMD EPYC 7543, 16 threads), end to end over HTTP with
oha and an identical request body for both servers. The
baseline is the model author's own server (laya-serve, LAYA_MODELS=english); the Verdict
column is this package. Latencies are per-request P50 / P99 at the stated concurrency. The
ratios are oriented so that above 1× means Verdict is ahead in both: throughput ratio =
Verdict ÷ baseline, latency ratio = baseline ÷ Verdict.
| concurrency | Verdict rps | Verdict P50 / P99 | laya-serve rps |
laya-serve P50 / P99 |
ratio rps | ratio P50 / P99 |
|---|---|---|---|---|---|---|
| 1 | 121.4 | 8.37 / 11.07 ms | 34.4 | 28.58 / 32.73 ms | 3.53× | 3.42 / 2.96× |
| 8 | 501.4 | 15.99 / 22.42 ms | 35.4 | 227.96 / 250.60 ms | 14.2× | 14.3 / 11.2× |
| 64 | 1353.0 | 46.71 / 65.19 ms | refused requests | — | — | — |
| File | Purpose |
|---|---|
model.json |
manifest: graph file name, budgets, calibration temperatures |
laya.onnx + laya.onnx.data |
the ONNX graph (fp32, external weights) |
tokenizer/tokenizer.json (+ tokenizer_config.json) |
the tokenizer |
SHA256SUMS |
checksums for every file above |
Weights are unchanged from convaiinnovations/laya; this repo adds only the ONNX export and the serving manifest. Conversion and serving are verified against the official model: identical answers on CPU, within 1e-4 on CUDA.
Apache-2.0, inherited from the base model. Credit for the model itself belongs to the original authors; this repository only repackages it for serving.
9 files, 1.7 GB in total. The weights are 1 file totalling 3.8 MB in onnx.
| File | Type | Size | SHA-256 |
|---|---|---|---|
| laya.onnx | Weights | 3.8 MB | f8569c393215 |
| model.json | Configuration | 562 B | — |
| README.md | Documentation | 3.0 KB | — |
| SHA256SUMS | Other | 499 B | — |
| laya.onnx.data | Other | 1.7 GB | 487746363a8d |
| .gitattributes | Repository | 1.6 KB | — |
| .ms_upload_cache | Repository | 1.1 KB | — |
| tokenizer/tokenizer.json | Tokenizer | 3.6 MB | — |
| tokenizer/tokenizer_config.json | Tokenizer | 308 B | — |
Released by Verdict through its official repository on Hugging Face. Read the license.
| Precision | Weights in memory |
|---|---|
| As published | 3.8 MB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Yes. laya is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. It permits commercial use, modification and redistribution. It requires keeping the license and copyright notices and any NOTICE file, stating significant changes, and it includes an express patent grant from contributors.
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