Using Nous Hermes Llama 2 13B on Fireworks AI
Implementation guide · Hermes · Nous Research
Fireworks AI exposes Nous Hermes Llama 2 13B through model ID accounts/fireworks/models/nous-hermes-llama2-13b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-04-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/nous-hermes-llama2-13b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/nous-hermes-llama2-13bFireworks 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/nous-hermes-llama2-13b",
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
About Nous Hermes Llama 2 13B
The Nous Hermes Llama 2 13B is an advanced large language model fine-tuned on over 300,000 instructions, building upon the Llama 2 architecture. Developed by Nous Research with contributions from Teknium, Emozilla, and compute sponsorship from Redmond AI, the model boasts features like extended response generation, reduced hallucinations, and compatibility with Alpaca prompt format. It is trained on a diverse dataset, including synthetic GPT-4 outputs, enhancing its knowledge and task completion capabilities.