> ## Documentation Index
> Fetch the complete documentation index at: https://zerogpu-docs-langchain-video-walkthroughs.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# deberta-v3-small

> Model details for deberta-v3-small.

export const ModelDescription = ({ id }) => {
  const read = () => {
    const store = (typeof window !== "undefined" && window.__zgpuModels) || {};
    return (store.data || []).find((x) => x.modelId === id) || null;
  };
  const [model, setModel] = useState(read);
  useEffect(() => {
    let active = true;
    const refresh = () => {
      if (active) setModel(read());
    };
    const store = window.__zgpuModels;
    if (store && store.data) {
      refresh();
    } else if (store && store.promise) {
      store.promise.then(refresh);
    } else {
      window.addEventListener("zgpu:models-loaded", refresh);
      return () => {
        active = false;
        window.removeEventListener("zgpu:models-loaded", refresh);
      };
    }
    return () => {
      active = false;
    };
  }, []);
  const p = (model && model.pricing) || {};
  const href = (u) => (u || "").replace(/\s+/g, "");
  const refs = [
    [p.model_doc_url, "Model docs"],
    [p.terms_url, "Terms"],
    [p.privacy_service, "Privacy"],
  ].filter((r) => r[0]);
  if (!p.description && !refs.length) return null;
  const refNodes = [];
  refs.forEach((r, i) => {
    if (i) refNodes.push(<span key={"sep" + i}> • </span>);
    refNodes.push(
      <a key={r[1]} href={href(r[0])}>
        {r[1]}
      </a>
    );
  });
  return (
    <>
      {p.description ? <blockquote>{p.description}</blockquote> : null}
      {refNodes.length ? (
        <p>
          <strong>References:</strong> {refNodes}
        </p>
      ) : null}
    </>
  );
};

<ModelDescription id="deberta-v3-small" />


## OpenAPI

````yaml api-reference/openapi/playgrounds/deberta-v3-small.openapi.json POST /responses
openapi: 3.1.0
info:
  title: deberta-v3-small playground
  version: '1.0'
  description: >-
    Interactive playground for **deberta-v3-small**.

    Model is always `deberta-v3-small` on this page (shown in the form, not
    editable).

    Use the **request example** selector to switch use cases (JSON, NER, PII,
    etc.).

    Authentication: `x-api-key` and `x-project-id`.
servers:
  - url: https://api.zerogpu.ai/v1
    description: Production
security:
  - ApiKey: []
    ProjectId: []
paths:
  /responses:
    post:
      tags:
        - deberta-v3-small
      summary: 'deberta-v3-small: Responses'
      operationId: createResponse_deberta-v3-small
      requestBody:
        required: true
        content:
          application/json:
            schema:
              allOf:
                - $ref: '#/components/schemas/CreateResponseRequest'
                - type: object
                  properties:
                    model:
                      type: string
                      const: deberta-v3-small
                      default: deberta-v3-small
                      example: deberta-v3-small
                      description: >-
                        Model identifier (fixed for this playground). Use
                        request examples to change use cases.
            examples:
              default:
                summary: Default
                value:
                  input: >-
                    Apple is expected to unveil its next-generation M5 chip at
                    WWDC this June, promising a 40% boost in GPU performance and
                    a new dedicated AI core for on-device machine learning
                    tasks.
                  model: deberta-v3-small
                  instructions: '[sports, finance, politics]'
      responses:
        '200':
          description: Success
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Response'
              examples:
                default:
                  summary: Default
                  value:
                    technology: 0.971784
                    politics: 0.011858
                    sports: 0.01175
                    finance: 0.004608
        '400':
          description: Bad request
        '401':
          description: Unauthorized
        '403':
          description: Forbidden
        '420':
          description: Insufficient quota
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/ErrorResponse'
        '500':
          description: Internal server error
components:
  schemas:
    CreateResponseRequest:
      type: object
      required:
        - model
        - input
      properties:
        model:
          type: string
          const: deberta-v3-small
          default: deberta-v3-small
          example: deberta-v3-small
          description: >-
            Model identifier (fixed for this playground). Use request examples
            to change use cases.
        input:
          type: string
          minLength: 1
          format: textarea
          maxLength: 131072
          description: Multi-line text or document content to send to the model.
        instructions:
          type: string
          example: '[sports, finance, politics]'
          description: >-
            Candidate categories for zero-shot classification, passed as a
            comma-separated array (e.g. `[sports, finance, politics]`). A
            maximum of 10 categories is supported; response time increases with
            the number of categories provided.
    Response:
      type: object
      additionalProperties: true
    ErrorResponse:
      type: object
      additionalProperties: true
  securitySchemes:
    ApiKey:
      type: apiKey
      in: header
      name: x-api-key
    ProjectId:
      type: apiKey
      in: header
      name: x-project-id

````