Japanese StableLM Gamma 7B on Fireworks AI

Japanese StableLM · Stability AI

ProvisionedOpen Weights

Last refreshed 2026-05-19. Next refresh: weekly.

Why use Japanese StableLM Gamma 7B on Fireworks AI?

Fireworks AI offers Japanese StableLM Gamma 7B with pay-as-you-go pricing at $0.20/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Input / 1M
$0.20
Output / 1M
$0.20
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
export FIREWORKS_API_KEY=...
Call
import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
Model ID
japanese-stablelm-gamma-7b

Request example

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)

Gotchas

  • Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
  • The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Pricing

TypePrice (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.

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Model Specs

Released2023-04-10
Parameters7B
Context8k
ArchitectureDecoder Only

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