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Interfaze AI releases Interfaze 1 Lite model for developer workloads

Interfaze AI has released Interfaze 1 Lite, a mixture-of-architectures model designed for developer workloads. The model combines a single vision-language reasoning core with a set of specialist architectures to handle tasks like document understanding, speech transcription, visual grounding, and structured JSON output. It is designed to run offline on a single 80 GB GPU.

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Key points

  • Interfaze 1 Lite runs offline on a single 80 GB GPU, such as an Nvidia H100.
  • The model scored 85.9 on GPQA Diamond and 87.8 on MMMLU.
  • It combines a vision-language reasoning core with specialist architectures for OCR, speech, and grounding.

According to the creators, Interfaze 1 Lite was evaluated using official benchmark scorers. It scored 85.9 on GPQA Diamond, 87.8 on MMMLU, and 73.2 on MMMU-Pro. The model is available on Hugging Face and can also be accessed via an OpenAI-compatible API.

Model page: Interfaze 1 Lite →

Full story from huggingface.co · via Reddit AI communities primary sourceOpen source ↗

interfaze-ai/interfaze-1-lite · Hugging Face

huggingface.co · 3 October 2026

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This text was published by huggingface.co. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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