Using Chronos Hermes 13B V2 on Fireworks AI
Implementation guide · Chronos Hermes · Austism
Fireworks AI exposes Chronos Hermes 13B V2 through model ID accounts/fireworks/models/chronos-hermes-13b-v2. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/chronos-hermes-13b-v2— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/chronos-hermes-13b-v2Fireworks 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/chronos-hermes-13b-v2",
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 Chronos Hermes 13B V2
The Chronos Hermes 13B v2 is a sophisticated large language model that merges Chronos and Nous-Hermes-Llama2-13b, striking a balance between imaginative writing and enhanced coherence. This model excels in generating extensive, high-quality prose and maintains context over 4096 tokens, making it ideal for narrative creation and roleplaying. Built on the Llama transformer architecture, it supports both text and code generation. Quantized versions optimize for various hardware, though this often results in trade-offs between accuracy and performance. Despite its capabilities, the model demands considerable RAM and may exhibit repetitive outputs, especially in formats aligned with Alpaca prompts.