StarCoder 2 is an open-source AI model developed by BigCode (ServiceNow + Hugging Face). It can be deployed on-premises with the right GPU hardware for private, secure AI inference.

How much VRAM does StarCoder 2 require?

VRAM requirements for StarCoder 2 depend on the quantization level. Full-precision models need more VRAM, while quantized versions (Q4, Q5, Q8) can run on consumer GPUs. See our VRAM requirements table for specific recommendations.

Can I run StarCoder 2 locally?

Yes. StarCoder 2 can be run locally using frameworks like Ollama or vLLM. Petronella Technology Group builds GPU-accelerated workstations and servers optimized for local AI model deployment.

What GPU do I need for StarCoder 2?

The recommended GPU depends on the model size and quantization. For smaller quantized versions, an AMD Radeon or NVIDIA RTX GPU with 16-24 GB VRAM may suffice. For full-precision or larger variants, enterprise GPUs like the AMD Instinct MI300X or NVIDIA A100 are recommended.

Does Petronella help deploy StarCoder 2?

Yes. Petronella Technology Group provides end-to-end AI deployment services including hardware selection, system configuration, model optimization, and ongoing support. Contact us to discuss your StarCoder 2 deployment needs.

Open-Source AI Model

StarCoder 2

Name: StarCoder 2
Author: BigCode (ServiceNow + Hugging Face)

Developed by BigCode (ServiceNow + Hugging Face)

Local AI Deployment Experts 24+ Years IT Infrastructure GPU Hardware In Stock

Key Capabilities

Code generation in 619 programming languages
Trained on ethically sourced, opt-in code (The Stack v2)
Fill-in-the-middle and code completion
Strong for code documentation and explanation
Lightweight enough for IDE integration

VRAM Requirements by Quantization

Choose the right GPU based on your performance and quality needs.

Model / Quantization	VRAM Required
3B FP16	6GB
7B FP16	14GB
15B FP16	30GB
15B Q4	10GB

Use Cases

StarCoder 2 (3B, 7B, 15B) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: BigCode Open RAIL-M (permissive, commercial use allowed).

Run StarCoder 2 with Petronella

PTG deploys StarCoder 2 for organizations needing ethically sourced code AI. Ideal for companies with IP concerns - trained on opt-in code from The Stack v2 with clear licensing.

Recommended Hardware

Model Size	Recommended GPU
3B	Any GPU with 8GB+ VRAM
7B	RTX 5080 (16GB)
15B	RTX PRO 4000 (24GB) or RTX 5090 (32GB)

Deploy StarCoder 2 On-Premises

Our team builds GPU-accelerated systems configured and optimized for StarCoder 2. Private, secure, and fully under your control.

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StarCoder 2

⚡Key Capabilities

📌VRAM Requirements by Quantization

🚀Use Cases