Using LLaVA 1.6 Hermes Yi 34B on Fireworks AI
Implementation guide · LLaVA 1.6 · Haotian Liu
Fireworks AI exposes LLaVA 1.6 Hermes Yi 34B through model ID llava-1.6-hermes-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
- 2Use the Fireworks AI SDK or REST API to call
llava-1.6-hermes-yi-34b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYllava-1.6-hermes-yi-34bFireworks 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="llava-1.6-hermes-yi-34b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.90 |
| Output tokens | $0.90 |
Capabilities
No model capability flags are currently sourced.
About LLaVA 1.6 Hermes Yi 34B
LLaVA-1.6, specifically the Hermes Yi 34B variant, represents a leap in multimodal AI capabilities, enhanced from its predecessor, LLaVA 1.5. This open-source chatbot excels in processing and responding to both text and image inputs. The model boasts a fourfold increase in image resolution support, enhanced visual reasoning and OCR capabilities, and improved visual conversation and world knowledge. It leverages the Nous-Hermes-2-Yi-34B language model as its backbone, offering superior commercial licenses and bilingual support. LLaVA-1.6-34B outshines other open-source models and even competes with Google's Gemini Pro on some tasks.