Together

Tev1 4B Experimental is an experimental decision model from Together AI, a supervised fine-tune of Qwen3.5-4B trained to choose one option from a structured state, question, and list of 2-24 labeled options. It keeps Qwen's standard next-token head, so it is served through the regular chat completions API rather than a dedicated decisions runtime. Send a system instruction followed by a JSON decision containing state, question, and options. The model returns a single option letter, which application code maps back to the option key. Recommended settings are temperature: 0, max_tokens: 8, and thinking disabled. It is intended for routing, classification, and policy checks, not generic chat. Together publishes the full data recipe and training code so teams can fine-tune their own variant.

This is the base model variant of the StripedHyena series, developed by Together. StripedHyena uses a new architecture that competes with traditional Transformers, particularly in long-context data processing. It combines attention mechanisms with gated convolutions for improved speed, efficiency, and scaling. This model marks an advancement in AI architecture for sequence modeling tasks.

This is the chat model variant of the StripedHyena series developed by Together in collaboration with Nous Research. StripedHyena uses a new architecture that competes with traditional Transformers, particularly in long-context data processing. It combines attention mechanisms with gated convolutions for improved speed, efficiency, and scaling. This model marks a significant advancement in AI architecture for sequence modeling tasks.