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togethercomputer 的网站图标

StripedHyena Nous 7B

togethercomputer/stripedhyena-nous-7b

模型权重

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.

模态
上下文
33K
发布时间
2023年12月9日
知识截止日期
2023年6月
活动常见问题探索

活动

此模型的 token 用量和请求流量随时间的变化。

目前无法通过 EU 区域内路由使用。 区域内路由文档

探索更多模型

AI 模型排行榜排名

常见问题

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.

StripedHyena Nous 7B 的上下文窗口为 32,768 token。

Tev1 4B Experimental 是 Together 推出的另一款 文本 模型。

StripedHyena Nous 7B 于 2023年12月9日 发布。其知识截止日期为 2023年6月30日。

更多模型,来自 Together

Tev1 4B Experimental

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.

决策US$0.042 / US$0
StripedHyena Hessian 7B

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.

文本33K 上下文