Quick Start
- 1
- 2Use the Together AI SDK or REST API to call
openhermes-2-mistral-7b— see the documentation for request format. - 3
Code Examples
pip install togetherTOGETHER_API_KEYopenhermes-2-mistral-7bTogether 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="openhermes-2-mistral-7b",
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
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About OpenHermes 2 Mistral 7B
OpenHermes 2 Mistral 7B is a cutting-edge large language model developed by Teknium. It builds on the Mistral architecture, known for its performance and efficiency, and is fine-tuned to offer significant improvements over prior models. Trained on a diverse dataset of over 900,000 entries, primarily produced by GPT-4, it showcases advanced capabilities in natural language understanding and generation. The model excels in generating high-quality text, engaging in multi-turn conversations, and producing structured outputs. It supports various prompt formats through ChatML, facilitating nuanced interactions. Furthermore, OpenHermes 2 Mistral 7B is available in several quantized formats for optimized performance on different hardware, ensuring compatibility with a wide range of tools and frameworks.