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MODEL Listed

StarCoder2 15B

StarCoder2 15B is a specialized large language model engineered specifically for code intelligence, trained on the massive and diverse Stack v2 dataset. Unlike general-purpose models that attempt to balance chat and reasoning, StarCoder2 focuses on high-fidelity code completion, refactoring, and multi-language understanding. For developers, the 15B parameter scale represents a sweet spot: it offers significantly higher logic density and context awareness than smaller 3B or 7B models, yet remains efficient enough to be deployed on consumer-grade or mid-range enterprise hardware. It excels in repository-level tasks and supports a vast array of programming languages, making it a robust backbone for building custom IDE extensions, automated code review tools, or local Copilot-style assistants. Because it is built on the BigCode framework, it offers a more transparent training lineage compared to many closed-source competitors, providing a reliable foundation for production-grade developer tooling.

BigCodecode generation
01 / MODEL CARD

Model card

StarCoder2 15B is a specialized large language model engineered specifically for code intelligence, trained on the massive and diverse Stack v2 dataset. Unlike general-purpose models that attempt to balance chat and reasoning, StarCoder2 focuses on high-fidelity code completion, refactoring, and multi-language understanding. For developers, the 15B parameter scale represents a sweet spot: it offers significantly higher logic density and context awareness than smaller 3B or 7B models, yet remains efficient enough to be deployed on consumer-grade or mid-range enterprise hardware. It excels in repository-level tasks and supports a vast array of programming languages, making it a robust backbone for building custom IDE extensions, automated code review tools, or local Copilot-style assistants. Because it is built on the BigCode framework, it offers a more transparent training lineage compared to many closed-source competitors, providing a reliable foundation for production-grade developer tooling.

Model typecode generation
ProviderBigCode
LicenseBigCode OpenRAIL-M
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
Listed
Source repositoryhttps://huggingface.co/bigcode/starcoder2-15b
View model source
Version informationUse the source repository for the latest version
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03 / DOWNLOAD

Download this model

We recommend using the ModelScope CLI or SDK. Install ModelScope first, then choose a full snapshot, single file, SDK or Git LFS workflow.

This entry points to Hugging Face. The commands use the matching ModelScope repository format; confirm that the repository exists on ModelScope before running them. Model repository: bigcode/starcoder2-15b
Install ModelScope

Install the CLI and SDK dependency before downloading.

pip install modelscope
Download the full model repository

Download the complete weights, configuration and model card.

modelscope download --model bigcode/starcoder2-15b
Download one file to a local directory

README.md is used as an example; replace it with another repository file when needed.

modelscope download --model bigcode/starcoder2-15b README.md --local_dir ./dir
Download with the SDK

Useful in Python projects and automation scripts.

from modelscope import snapshot_download
model_dir = snapshot_download('bigcode/starcoder2-15b')
Clone with Git

Make sure Git LFS is installed correctly.

git lfs install
git clone https://www.modelscope.cn/bigcode/starcoder2-15b.git
Clone without downloading LFS blobs

Fetch the repository structure first, then pull large files when needed.

GIT_LFS_SKIP_SMUDGE=1 git clone https://www.modelscope.cn/bigcode/starcoder2-15b.git
04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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