Community model API
Use Laya Typed Decisions or Laya Multilingual in your own tools. The API is open to every approved member and reports usage in T4 seconds after each call.
Available models
mys/laya-typed-decisions-GGUF
Laya specializes in decisions about invoices, security incidents, customer service, and agent traces. This checkpoint supports English only.
Source: GGUF weights by mys · original Laya checkpoint by Convai Innovations · ggmlc runtime. The weights use the Apache-2.0 license.
mys/laya-multilingual-GGUF
The full multilingual F16 checkpoint for typed choices, scores, and yes/no decisions across languages. It runs as a separate protected T4 app and has its own usage total.
The upstream model ships uncalibrated and is weak on zero-shot typed-decisions benchmarks. Validate its answers on your language and workflow before treating probabilities as thresholds.
Source: GGUF weights by mys · original Laya checkpoint by Convai Innovations · ggmlc runtime. The weights are Apache-2.0 licensed.
Use the Hugging Face repository path above as the model name in inference and usage requests.
Catalog
2 models
Runtime
GGUF on NVIDIA T4
Meter
T4 seconds
Get access
Sign in with LinkedIn on Apply. Once approved, generate your application token there. Use the same token for model requests, sent as Authorization: Bearer. New tokens last 30 days. Existing tokens keep their original expiry. Regenerating your token revokes the previous one. Keep the token out of source code, logs, and URLs.
List models
GET /api/v1/models returns every available model with its exact name, source links, runtime, license, and GPU. Use your application token to call it.
curl https://genaicommunity.ai/api/v1/models \
-H "Authorization: Bearer $COMMUNITY_API_TOKEN" Make a decision
Send the state you want evaluated and a map of typed questions. The required model field selects which model to call.
curl https://genaicommunity.ai/api/v1/models/infer \
-H "Authorization: Bearer $COMMUNITY_API_TOKEN" \
-H "Content-Type: application/json" \
-d '{
"model": "mys/laya-typed-decisions-GGUF",
"state": {"message": "I was charged twice for the same invoice."},
"questions": {
"billing": {
"type": "noul",
"instructions": "Is this a billing issue?"
}
}
}' For multilingual input, use the same request with "model": "mys/laya-multilingual-GGUF" and put your text and question instructions in the desired language.
The response includes result with the model’s answers. It also reports usage for this call in usage.gpuSeconds, your total in usage.totalGpuSeconds, and the number of calls in usage.requestCount.
Usage includes gpu: "T4", unit: "T4 seconds", and measurement: "inference". A completed model call is metered even if the model rejects its input.
Read your usage
curl "https://genaicommunity.ai/api/v1/models/usage?model=mys%2Flaya-typed-decisions-GGUF" \
-H "Authorization: Bearer $COMMUNITY_API_TOKEN" Replace the model query value with mys%2Flaya-multilingual-GGUF for its separate total. T4 seconds measure elapsed inference time inside the allocated GPU container. Startup, time waiting outside the container, and idle time are excluded. This meter does not measure GPU utilization or billed usage. Your totals belong to your member account, so they stay the same when you renew your token.
Endpoints
- GET /api/v1/models
- List models currently available to members.
- POST /api/v1/models/infer
- Run typed decisions and return usage for this call and your account total.
- GET /api/v1/models/usage
- Get your total usage for a model.