Using StarCoder2 7B on Fireworks AI
Implementation guide · StarCoder 2 · ServiceNow Research
Fireworks AI exposes StarCoder2 7B through model ID starcoder2-7b. 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
starcoder2-7b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYstarcoder2-7bFireworks 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="starcoder2-7b",
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 StarCoder2 7B
The StarCoder2 7B model is a large language model engineered for code generation tasks, containing 7 billion parameters. It is trained on a vast dataset of 3.5 trillion tokens known as The Stack v2, which includes diverse code samples from 17 programming languages such as Python, Java, and JavaScript. This model features Grouped Query Attention with a significant context window of 16,384 tokens and a sliding window attention of 4,096 tokens, enabling it to adeptly manage complex coding tasks. StarCoder2 7B excels in code completion, summarization, and generating code snippets from given prompts.