Using StarCoder2 7B on NVIDIA NIM
Implementation guide · StarCoder 2 · ServiceNow Research
Quick Start
- 1
- 2Use the NVIDIA NIM SDK or REST API to call
starcoder2-7b— see the documentation for request format. - 3
Code Examples
About NVIDIA NIM
NIM packages inference runtimes and model profiles into containers that expose standard API surfaces such as chat completions, completions, model listing, tokenization, health, and management endpoints. The hosted API path is useful for prototyping and catalog discovery, while the NGC/container path is the self-hosted route for teams that want GPU-hour infrastructure control, private-network deployment, Kubernetes scaling, or NVIDIA AI Enterprise support. Per-token pricing is not a universal provider-level claim in the current seed data; pricing should stay attached to sourced model-provider rows or NVIDIA's current catalog terms.
NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices. Developers can try hosted NIM APIs through the NVIDIA API Catalog on build.nvidia.com, then move the same model families into self-hosted NIM containers on NVIDIA GPUs in a data center, private cloud, public cloud, or workstation. The catalog positions NIM around optimized open and NVIDIA models, including chat, coding, reasoning, retrieval, vision, speech, and safety use cases, with downloadable model cards and API endpoints where NVIDIA exposes them.
Pricing on NVIDIA NIM
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
| GPU Config | 1xH100 |
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. It is built with responsible data usage in mind, designed to avoid directly copying copyrighted code, making it a reliable tool for developers 124.