GET
/v1/models/ollaya/kev:4b
Accept:
| rawId | kev:4b |
| displayName | — |
| id | ollaya-kev-4b |
| activity | decision |
| schemaEndpointId | v1/systemone |
| releasedAt | 1790208000 — Sep 24, 2026 |
| firstSeenAt | 1790208000 — Sep 24, 2026 |
| lastSeenAt | 1794567015 — 5m ago |
| pricing | not published by this provider’s list endpoint |
| contextWindow | 8192 |
| openWeights | true |
| weightsUrl | "https://huggingface.co/jaredpalmer/kev-4b" |
| providerMetadata | {"model_format":"onnx","family":"kev","parameter_size":"4.2B","context_length":8192,"languages":["en"],"description":"Kev on Qwen3.5-4B base (LoRA and pointer head): more accurate than 0.8b out of domain. Needs about 9 GB of memory.","source":"huggingface.co/jaredpalmer/kev-4b@139fdd94f1b6a6ad80cc15e08fcb99cac885a101","license":"Apache-2.0","release_date":"2026-09-24"} |
| maxOutput · modalities · capabilities · knowledgeCutoff · requestMap | not published by this provider’s list endpoint |
Endpoints & schemas
GET /v1/schemas/ollaya →| endpoint | activity |
|---|---|
| v1/systemone | decision |
Sources
| field | recorded source |
|---|---|
| contextWindow | Source unknown — no source URL recorded. listing |
| openWeights | Source unknown — no source URL recorded. listing |
| activity | Source unknown — no source URL recorded. |
| maxOutput | Source unknown — no source URL recorded. |
| modalities | Source unknown — no source URL recorded. |
| pricing | Source unknown — no source URL recorded. |
| capabilities | Source unknown — no source URL recorded. |
| reasoning | Source unknown — no source URL recorded. |
| requestMap | Source unknown — no source URL recorded. |
| schemaEndpointId | Source unknown — no source URL recorded. |
Use it
shell
$ curl https://modelschemas.com/v1/schemas/ollaya/decision/v1/systemone # request schema
$ curl -X POST https://modelschemas.com/v1/validate -d '{"provider":"ollaya","endpointId":"v1/systemone","payload":{…}}'
$ curl -X POST https://modelschemas.com/v1/estimate -d '{"provider":"ollaya","model":"kev:4b","usage":{"input_tokens":1200,"output_tokens":400}}'