Using OpenHermes 2 Mistral 7B on Fireworks AI
Implementation guide · OpenHermes 2 · Teknium
Fireworks AI exposes OpenHermes 2 Mistral 7B through model ID accounts/fireworks/models/openhermes-2-mistral-7b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-06-15. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/openhermes-2-mistral-7b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/openhermes-2-mistral-7bFireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/openhermes-2-mistral-7b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks 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.