Using Nous Hermes 2 Yi 34B on Fireworks AI

Implementation guide · Hermes 2 · Nous Research

ProvisionedOpen Source

Fireworks AI exposes Nous Hermes 2 Yi 34B through model ID nous-hermes2-yi-34b. 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. 1
    Create an account at Fireworks AI and generate an API key.
  2. 2
    Use the Fireworks AI SDK or REST API to call nous-hermes2-yi-34b — see the documentation for request format.
  3. 3
    You'll be billed $0.90/1M input, $0.90/1M output tokens. See full pricing.

Code Examples

Install
pip install openai
API key
FIREWORKS_API_KEY
Model ID
nous-hermes2-yi-34b

Fireworks 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="nous-hermes2-yi-34b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Pricing on Fireworks AI

TypePrice (per 1M)
Input tokens$0.90
Output tokens$0.90

Capabilities

No model capability flags are currently sourced.

About Nous Hermes 2 Yi 34B

34B Hermes variant building on Yi 34B with enhanced reasoning and problem-solving via training on diverse high-quality datasets.

Model Specs

Released2023-12-12
Parameters34B
Context200k
ArchitectureDecoder Only
Knowledge cutoff2024-03

Provider

Fireworks AI

San Mateo, California, United States