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.
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 →
interfaze-ai/interfaze-1-lite · Hugging Face
huggingface.co · 3 October 2026
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