Interfaze 1 Lite

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Open weights

Smaller open weight model. Available for self-hosting.

interfaze-1-lite is a smaller any-to-text open-weight model. It takes text, images, audio and files, runs on a single 80 GB GPU, and is available for self-hosting under the Apache 2.0 license.

Specs and pricing

Model ID

interfaze-1-lite

Input tokens

$0.85 / MTok

Output tokens

$1.50 / MTok

Context window

128k tokens

Max output tokens

32k tokens

Input modalities

Text, Images, Audio, File

Output

Text

Reasoning

Available

Caching

Included

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Quickstart

Interfaze SDK

Vercel AI SDK

OpenAI SDK

import { Interfaze } from "interfaze";

const interfaze = new Interfaze();

const response = await interfaze.chat.completions.create({
	model: "interfaze-1-lite",
	messages: [
		{
			role: "user",
			content: [
				{ type: "text", text: "Extract the details from this ID" },
				{ type: "image_url", image_url: { url: "https://r2public.jigsawstack.com/interfaze/examples/id.jpg" } },
			],
		},
	],
});

console.log(response.choices[0]?.message.content);

See the getting started guide for setup and authentication.

Self-host

The weights are on Hugging Face under the Apache 2.0 license. You need one 80 GB GPU with compute capability 8.9 or newer, like an H100, and ffmpeg for audio.

hf download interfaze-ai/interfaze-1-lite requirements.txt --local-dir .
pip install -r requirements.txt

from transformers import AutoModel

model = AutoModel.from_pretrained("interfaze-ai/interfaze-1-lite", trust_remote_code=True)

answer = model.chat(
    [{"role": "user", "content": "What is the total, and which item is highlighted?"}],
    files=["receipt.jpg"],
)
print(answer["content"])

The Hugging Face model card covers every method and its limitations.

interfaze-1

OCR (Image & Document)