1. Tutorial Introduction

Osmosis-Structure-0.6B is a dedicated small language model (SLM) launched by osmosis-ai in 2025, designed to complete structured output generation tasks. Despite its parameter size of only 0.6B, the model shows excellent performance in extracting structured information when used in conjunction with supported frameworks.

osmosis-ai's approach uses structured outputs during training, forcing the model to focus only on each key value declared by the inference engine. This significantly improves the accuracy of the model in generating well-formatted, structured responses in various fields, especially in mathematical reasoning and problem-solving tasks.

This tutorial uses a single RTX 4090 GPU as computing resource. Supported languages: English. Due to the small number of model parameters, it is highly dependent on the prompt word.

2. Project Examples

3. Operation steps

1. Start the container

2. After entering the webpage, you can start a conversation with the model

If "Model" is not displayed, it means the model is being initialized. Since the model is large, please wait about 2-3 minutes and refresh the page.

4. Discussion

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