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.
Sample code and API for StripedHyena Hessian 7B (base)
OpenRouter normalizes requests and responses across providers for you.
To get started, you can use StripedHyena Hessian 7B (base) via API like this:
fetch("https://openrouter.ai/api/v1/chat/completions",{ method:"POST", headers:{"Authorization":`Bearer ${OPENROUTER_API_KEY}`,"HTTP-Referer":`${YOUR_SITE_URL}`,// Optional, for including your app on openrouter.ai rankings."X-Title":`${YOUR_SITE_NAME}`,// Optional. Shows in rankings on openrouter.ai."Content-Type":"application/json"}, body:JSON.stringify({"model":"togethercomputer/stripedhyena-hessian-7b","messages":[{"role":"user","content":"What is the meaning of life?"},],})});
You can also use OpenRouter with OpenAI's client API:
import OpenAI from"openai"const openai =newOpenAI({ baseURL:"https://openrouter.ai/api/v1", apiKey: $OPENROUTER_API_KEY, defaultHeaders:{"HTTP-Referer": $YOUR_SITE_URL,// Optional, for including your app on openrouter.ai rankings."X-Title": $YOUR_SITE_NAME,// Optional. Shows in rankings on openrouter.ai.}})asyncfunctionmain(){const completion =await openai.chat.completions.create({ model:"togethercomputer/stripedhyena-hessian-7b", messages:[{ role:"user", content:"Say this is a test"}],})console.log(completion.choices[0].message)}main()
See the Request docs for all possible parameters, and Parameters for recommended values.