Use StarCoder2 15B for Free

StarCoder2 15B is an AI model released February 2024 by bigcode, a leading organization in large language model research. BigCode's StarCoder2 15B — trained on the Stack v2 with 600+ programming languages. Great for code completion and repository-level tasks. With 15.5B and a 16K tokens context window, StarCoder2 15B is designed to excel across a range of demanding tasks — from software engineering and mathematical problem-solving to multilingual content generation and long-document analysis.

StarCoder2 15B uses a dense transformer architecture with 15.5B of parameters, all of which are active for every input token. Dense architectures provide predictable, consistent behavior across diverse task types — there are no "cold" experts to warm up, and quality is uniform across prompts. bigcode's training pipeline combined large-scale pretraining on The Stack v2: 900B tokens of code from GitHub covering 600+ languages with developer opt-out with supervised fine-tuning and alignment techniques (RLHF or DPO), producing StarCoder2 15B's characteristic balance of capability, helpfulness, and safety.

As of 2026-10-16, StarCoder2 15B by bigcode demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 46.5%. For software engineering tasks, StarCoder2 15B scores 46.5% on HumanEval, which tests ability to write correct functions from docstrings. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place StarCoder2 15B — at 15.5B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

The primary strengths of StarCoder2 15B are: 600+ programming languages — broadest language coverage of any open code model; Fill-in-the-middle for IDE completion across all supported languages; The Stack v2 with developer opt-out — ethical data provenance; BigCode governance: open scientific collaboration with data privacy protections. These make it particularly well-suited for IDE completion in rare or niche programming languages, Organizations prioritizing ethical AI data sourcing, Multi-language polyglot projects spanning 600+ languages. Users working on complex, multi-step problems benefit most from StarCoder2 15B's ability to maintain coherence across long inputs and produce structured, verifiable outputs.

Like all current AI systems, StarCoder2 15B has limitations: 16K context limits large-codebase analysis; Superseded by Qwen2.5-Coder-32B on benchmark performance; HumanEval 46.5% lower than newer specialized models. For production deployments, validating outputs against authoritative sources — especially for domain-specific or time-sensitive information — remains best practice. bigcode continues to improve StarCoder2 15B through ongoing research.

StarCoder2 15B is available on LITHOVEX AI with a free account. Unlike direct API access — which requires billing setup, API key management, and per-token charges — LITHOVEX AI provides a seamless browser interface with no setup required, making StarCoder2 15B accessible to students, researchers, developers, and early-stage teams globally.

As of 2026-10-16, StarCoder2 15B by bigcode demonstrates measurable performance on standard AI evaluation benchmarks. On HumanEval — which tests ability to write correct functions from docstrings — it achieves 46.5%. For software engineering tasks, StarCoder2 15B scores 46.5% on HumanEval, which tests ability to write correct functions from docstrings. Across all 4 benchmarks tracked, the model shows consistent capability in its primary task domains. These scores place StarCoder2 15B — at 15.5B of parameters — in a competitive position within its model class. Note that benchmark scores reflect controlled evaluation conditions; real-world performance varies by task, prompt design, and domain specificity.

Dense transformer, 15.5B parameters, trained on The Stack v2

The training pipeline for StarCoder2 15B involves multiple stages: large-scale pretraining on The Stack v2: 900B tokens of code from GitHub covering 600+ languages with developer opt-out to develop broad world knowledge, followed by supervised fine-tuning on instruction-response pairs, and alignment techniques such as RLHF or DPO. Each stage refines the model's helpfulness, accuracy, and safety. bigcode's research team — based in International (HuggingFace + ServiceNow) — has optimized StarCoder2 15B for the specific capability profile described above.

Inference efficiency: StarCoder2 15B at 15.5B is designed to deliver quality outputs at practical serving speeds. Its 16K tokens context window enables processing entire documents, multi-file codebases, and extended conversation histories — particularly valuable for contract review, technical documentation analysis, and codebase-level AI assistance.

Getting started with StarCoder2 15B on LITHOVEX AI takes under two minutes. Follow these steps:

For best results with StarCoder2 15B: provide specific, context-rich prompts; include examples when generating code; specify output format when structure matters; break complex tasks into focused sub-questions.

BigCode is an open scientific collaboration led by Hugging Face and ServiceNow, bringing together researchers to develop open and responsible AI for code. The StarCoder model family is trained on The Stack — a large collection of permissively licensed source code from GitHub covering hundreds of programming languages. BigCode follows a governance model addressing ethical concerns in code AI, including opt-out mechanisms for developers. StarCoder2 15B, released in 2024, became one of the most capable open code generation models, with strong multi-language performance and fill-in-the-middle completion used in IDE integrations.

Funding: Open science collaboration (Hugging Face + ServiceNow)

Founded: 2022, headquartered in International (HuggingFace + ServiceNow).

Visit the official bigcode website →

StarCoder2 15B by bigcode competes in a field with several strong alternatives. Below is a detailed side-by-side comparison against commonly listed alternatives, using benchmark data and capability profiles in the catalog.

Both StarCoder2 15B and the models above are available free on LITHOVEX AI — test them side by side on your real tasks before committing to a subscription with any provider.

StarCoder2 15B is released under BigCode Open RAIL-M v1, which means you can download and run it on your own hardware. Below are the quickest ways to get started.

StarCoder2 15B is the global standard for open-source code models as of 2024, used by IDE plugin developers, academic researchers, and enterprise teams worldwide who need transparent, ethically-sourced code training data.

StarCoder2 15B by bigcode has the following version history and notable updates:

For the complete changelog and latest release notes, visit the official bigcode model page.