Using StarCoder2 3B on Fireworks AI
Implementation guide · StarCoder 2 · ServiceNow Research
Fireworks AI exposes StarCoder2 3B through model ID starcoder2-3b. 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
starcoder2-3b— see the documentation for request format. - 3
Code Examples
pip install openaiFIREWORKS_API_KEYstarcoder2-3bFireworks 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="starcoder2-3b",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on Fireworks AI
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.10 |
| Output tokens | $0.10 |
Capabilities
No model capability flags are currently sourced.
About StarCoder2 3B
StarCoder2-3B is a 3-billion parameter large language model developed by the BigCode project, focusing on code generation tasks. Its architecture features a transformer decoder with grouped-query and sliding window attention, trained using the Fill-in-the-Middle objective. The model supports a context window of 16,384 tokens, allowing it to handle large contexts for tasks like code completion and translation across 17 programming languages. However, it is not designed for direct instruction-following.