Using Japanese StableLM Gamma 7B on Fireworks AI
Implementation guide · Japanese StableLM · Stability AI
Fireworks AI exposes Japanese StableLM Gamma 7B through model ID japanese-stablelm-gamma-7b. 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-gamma-7b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYjapanese-stablelm-gamma-7bFireworks 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-gamma-7b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.20 |
Capabilities
No model capability flags are currently sourced.
About Japanese StableLM Gamma 7B
The Japanese StableLM Base Gamma 7B is a specialized language model developed for Japanese text processing, leveraging its decoder-only transformer architecture to predict the next word in a sequence effectively. Trained on an extensive dataset of around 100 billion Japanese tokens, including diverse sources like Wikipedia and OSCAR, it supports a wide range of Japanese language styles. While excelling in generating coherent text and handling language modeling tasks, it also holds potential for fine-tuning across various applications such as text classification and machine translation.