interfaze-ai/interfaze-1-lite

image-text-to-image model by interfaze-ai

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Website · Docs · Run tasks · Blog · GitHub Interfaze 1 Lite is a mixture-of-architectures (MoA) model for developer workloads: reading documents, transcribing speech, locating objects and interface elements, and answering over all of it with structured output. A single vision-language reasoning core works alongside a set of specialist architectures, each built for one kind of perception. The core reads the request, decides which specialists to run, and composes the answer from what they return. The whole model runs on one 80 GB GPU with no external services. Interfaze 1 Lite is not one network. It is a reasoning core plus specialists, each chosen for the task it is best at, connected by tool calls. How the parts combine: Interfaze 1 Lite was scored by us with each benchmark's official scorer. Every other score is from the Interfaze leaderboard. Higher is better except WER. \Gemini-3-Flash-Preview. To run Lite as…

interfaze-ai/interfaze-1-lite on Hugging Face A short preview, not the full document.

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Inside the original model card — Document outline
  1. Interfaze 1 Lite
  2. Introduction
  3. Key features
  4. Model architecture
  5. Performance
  6. The benchmarks
  7. Quickstart
  8. Requirements
  9. Using 🤗 Transformers
  10. Using the Interfaze API
  11. Examples
  12. Read a document, with boxes

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Model overview

interfaze-ai/interfaze-1-lite is a image-text-to-image model repository published by interfaze-ai on Hugging Face. The source reports the transformers library.

This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.

Model facts

Task
image-text-to-image
Library
transformers
Recent downloads (30 days)
69
Cumulative likes
52
Hugging Face trending score
52
Reported safetensors parameters
Not reported
Architecture
InterfazeLiteModel
License
other
Access
Not gated by Hugging Face
Created
2026-10-03T01:11:05.000Z
Last modified
2026-10-07T23:00:13.000Z

Compatibility and lineage

Reported languages: en, zh, es, fr, de, it, pt, ja, ko, ar, hi, bn, id, sw, yo

Base-model lineage was not included.

Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.

Use and evaluate

Check license terms and access requirements first. Review the model card’s documented loading instructions, evaluations and safety limitations. Benchmark scores are not imported by this directory, and popularity is not an accuracy ranking.

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Model card and usage instructions

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Source and freshness

Source: Hugging Face Hub. Metadata observed 2026-10-08T06:39:12.727Z. Daily imports are snapshots, not real-time monitoring.

Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.

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