Using FireLLaVA 13B on Fireworks AI
Implementation guide · FireLLaVA · Fireworks AI
Fireworks AI exposes FireLLaVA 13B through model ID firellava-13b. 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
firellava-13b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYfirellava-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="firellava-13b",
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 FireLLaVA 13B
FireLLaVA 13B is an advanced vision-language model (VLM) designed to process both images and text, excelling in tasks such as image-to-text generation and visual question answering. Built by integrating CodeLlama 34B Instruct with a vision component akin to OpenAI's CLIP-ViT, this model utilizes a training set consisting of 588K lines of single and multi-turn visual question answering data. As the first commercially permissive open-source LLaVA model, FireLLaVA 13B effectively mimics the multimodal capabilities of GPT-4, showing comparable or superior performance on certain benchmarks.