StarCoder2 7B
About
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.
Capabilities
Providers(2)
Compare all →| Provider | Input (per 1M) | Output (per 1M) | Type | |
|---|---|---|---|---|
| Fireworks AI | $0.2 | $0.2 | ServerlessProvisioned | |
| NVIDIA NIM | — | — | Provisioned |
Specifications
Created by
Empowering responsible AI for efficient workflows