Initial public ModelForge release
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capability: vision.embedding
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version: 1
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description: Image/text embeddings for visual retrieval.
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input_schema:
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type: object
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additionalProperties: false
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required: [items]
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properties:
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items:
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type: array
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minItems: 1
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maxItems: 4
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items:
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oneOf:
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- {type: object, additionalProperties: false, required: [image_base64, media_type], properties: {image_base64: {type: string}, media_type: {enum: [image/png, image/jpeg]}}}
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- {type: object, additionalProperties: false, required: [text], properties: {text: {type: string, minLength: 1, maxLength: 4096}}}
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output_schema:
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type: object
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required: [vectors]
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properties:
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vectors: {type: array, items: {type: array, items: {type: number}}}
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modalities: {input: [image, text], output: [vector]}
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languages: [nl, en]
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vector: {dimensionality: null, normalized: null, cross_deployment_compatible: false}
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quality_metrics: [recall_at_1, recall_at_5, recall_at_10, mrr]
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upgrade_class: requires_reindex
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fallback: {allowed: false, mode: hard_fail}
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privacy: {classification: confidential, allow_persistence: false, allow_logging_payloads: false, allow_network_egress: false}
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resources: {accelerator_required: true, cpu_fallback_allowed: false}
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production_priority: interactive
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default_residency: load_on_demand
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estate:
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category: VISION
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purpose: Shared image and text vector space for local visual retrieval.
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stability: experimental
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resource_class: HEAVY
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evaluation_type: visual-retrieval
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consumers: [examplevision]
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payload_limits: {max_bytes: 8388608, max_batch_count: 4, max_width: 4096, max_height: 4096}
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