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    Model catalog
    zlm-v1-signal-extract logo

    zlm-v1-signal-extract

    Text Classification

    by ZeroGPU

    DocsTry it now

    zlm-v1-signal-extract is a specialized ZeroGPU model for turning unstructured text into structured signals that downstream systems can act on. It extracts topics, keywords, intent, and other contextual attributes in a single inference call, making it well suited for content enrichment, contextual intelligence, ad targeting, agent routing, recommendation systems, and analytics pipelines. The model returns structured output and is designed for fast, high-volume workloads where lightweight signal extraction is more efficient than using a general-purpose LLM.

    Specifications

    Parameters

    80M

    Context length

    400 tokens

    Task

    Text Classification

    Provider

    ZeroGPU

    Billing

    Per token

    API

    OpenAI-compatible

    Pricing

    Input

    $0.04

    per 1M tokens

    Output

    $0.10

    per 1M tokens

    Use cases

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    Read the docsTry zlm-v1-signal-extract now