media Together AI Blog · just now · inference

Together AI enables fine-tuning a Jev-like classifier on Qwen3.5 4B for $17

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Together AI has released a guide and open-source repository for fine-tuning a classification model similar to Jev, using the Qwen3.5 4B base model.

The process involves sampling 38,340 examples from six Hugging Face datasets to keep training costs low.
Training takes approximately 25 minutes and costs about $17 via Together AI's Fine-tuning service.
The resulting model is deployed on a dedicated HTTP endpoint for integration into software applications.
Users can query the model using JSON inputs to perform intent detection, boolean checks, and sentiment analysis.

This approach allows developers to quickly create cost-effective, specialized classification models that return structured outputs like scores or booleans.

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