Using Japanese StableLM 70B on Fireworks AI
Implementation guide · Japanese StableLM · Stability AI
Fireworks AI exposes Japanese StableLM 70B through model ID japanese-stablelm-70b. 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
japanese-stablelm-70b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYjapanese-stablelm-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="japanese-stablelm-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 Japanese StableLM 70B
The Japanese StableLM 70B is a highly advanced large language model developed by Stability AI Japan, drawing from the Llama 2 architecture. It is purpose-built for tasks in the Japanese language, featuring an impressive 70 billion parameters, making it one of the largest open-source Japanese language models as of November 2023. This model excels in generating human-like Japanese text, effective question answering, and adeptly following instructions in Japanese. Its training encompassed approximately 100 billion tokens from wide-ranging Japanese and English sources, ensuring a robust linguistic capability.