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Together AI

Using Nous Hermes 2 Mixtral 8x7B on Together AI

Implementation guide · Hermes 2 · Nous Research

Serverless

Quick Start

  1. 1
    Create an account at Together AI and generate an API key.
  2. 2
    Use the Together AI SDK or REST API to call nous-hermes2-mixtral-8x7b — see the documentation for request format.
  3. 3
    You'll be billed $0.60/1M input, $0.60/1M output tokens. See full pricing.

Code Examples

Install
pip install together
API key
TOGETHER_API_KEY
Model ID
nous-hermes2-mixtral-8x7b

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.

from together import Together

client = Together()  # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
    model="nous-hermes2-mixtral-8x7b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

About Together AI

Platform for running open-source and proprietary LLMs

Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.

Pricing on Together AI

TypePrice (per 1M)
Input tokens$0.60
Output tokens$0.60

Capabilities

No model capability flags are currently sourced.

About Nous Hermes 2 Mixtral 8x7B

Mixtral MoE variant of Hermes trained on 1M+ GPT-4 entries for content generation and customer service. Available in quantized formats (GGUF, GPTQ, AWQ) for flexible deployment.

Model Specs

Released2023-12-12
Parameters8x7B
Context32K
ArchitectureMixture of Experts
Knowledge cutoff2023-12

Provider

Together AI
Together AI

San Francisco, California, United States