StripedHyena Hessian 7B on Together AI

Striped Hyena · Together.ai

ServerlessOpen Source

Last refreshed 2026-06-15. Next refresh: weekly.

Why use StripedHyena Hessian 7B on Together AI?

Together AI offers StripedHyena Hessian 7B with pay-as-you-go pricing at $0.20/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Input / 1M
$0.20
Output / 1M
$0.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install together
Auth
export TOGETHER_API_KEY=...
Call
from together import Together
client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="stripedhyena-hessian-7b",
Model ID
stripedhyena-hessian-7b

Request example

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="stripedhyena-hessian-7b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
  • The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.

Pricing

TypePrice (per 1M)
Input tokens$0.20
Output tokens$0.20

Capabilities

Structured Outputs

About StripedHyena Hessian 7B

The StripedHyena Hessian 7B (SH 7B) is a cutting-edge large language model developed by Together Computer. It employs a hybrid architecture that integrates multi-head, grouped-query attention, and gated convolutions arranged in Hyena blocks, distinguished from traditional Transformer models by its enhanced performance and efficiency 12. Designed for superior long-context processing, the model features a state-space model (SSM) layer for efficient inference and reduced memory usage 10, excelling in tasks like multi-document question answering and long-form text summarization.

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Model Specs

Released2023-12-08
Parameters7B
Context32k
ArchitectureDecoder Only

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