InternLM 2 is an open-source AI model developed by Shanghai AI Laboratory. It can be deployed on-premises with the right GPU hardware for private, secure AI inference.

How much VRAM does InternLM 2 require?

VRAM requirements for InternLM 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 InternLM 2 locally?

Yes. InternLM 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 InternLM 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 InternLM 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 InternLM 2 deployment needs.

Open-Source AI Model

InternLM 2

Name: InternLM 2
Author: Shanghai AI Laboratory

Developed by Shanghai AI Laboratory

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

Key Capabilities

200K extended context window
Strong Chinese and English bilingual performance
Excellent math and reasoning (InternLM2-Math)
Tool use and agentic capabilities (InternLM2-Agent)
Apache 2.0 for full commercial freedom

VRAM Requirements by Quantization

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

Model / Quantization	VRAM Required
7B FP16	14GB
20B FP16	40GB
20B Q4	12GB

Use Cases

InternLM 2 (1.8B, 7B, 20B) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: Apache 2.0.

Run InternLM 2 with Petronella

PTG deploys InternLM 2 for organizations needing Chinese-English AI with a 200K context window. Apache 2.0 and strong agentic capabilities make it ideal for automated business workflows.

Recommended Hardware

Model Size	Recommended GPU
7B	RTX 5080 (16GB)
20B	RTX 5090 (32GB) or RTX PRO 5000 (48GB)

Deploy InternLM 2 On-Premises

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

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InternLM 2

⚡Key Capabilities

📌VRAM Requirements by Quantization

🚀Use Cases