Fireworks AI exposes Llama 2 70B through model ID accounts/fireworks/models/llama-v2-70b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-09-18. Next refresh: weekly.
Quick Start
- 1
- 2Use the Fireworks AI SDK or REST API to call
accounts/fireworks/models/llama-v2-70b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYaccounts/fireworks/models/llama-v2-70bFireworks 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/llama-v2-70b",
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 Llama 2 70B
Llama 2 70B is a state-of-the-art generative text model developed by Meta, featuring 70 billion parameters and optimized for dialogue applications. It utilizes an advanced transformer architecture and has been fine-tuned using supervised learning and RLHF. Pretrained on 2 trillion tokens from diverse public sources, it outperforms many open-source chat models and competes with popular closed-source models in terms of helpfulness and safety. The model is designed for commercial and research applications in English, focusing on assistant-like chat functionalities. It accepts text input and generates text output, making it suitable for various natural language processing tasks .