StarCoder2 7B on NVIDIA NIM
StarCoder 2 · ServiceNow Research
Last refreshed 2026-10-09. Next refresh: weekly.
Why use StarCoder2 7B on NVIDIA NIM?
NVIDIA NIM offers StarCoder2 7B. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare StarCoder2 7B across 2 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: bigcode/starcoder2-7bbigcode/starcoder2-7bRequest example
bigcode/starcoder2-7b.Gotchas
- Use provider model ID "bigcode/starcoder2-7b", not the LLMReference slug "starcoder2-7b".
Compare StarCoder2 7B Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Fireworks AI | $0.20 | $0.20 |
| NVIDIA NIM | — | — |
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.