Yi Large is an open-source AI model developed by 01.AI. It can be deployed on-premises with the right GPU hardware for private, secure AI inference.

How much VRAM does Yi Large require?

VRAM requirements for Yi Large 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 Yi Large locally?

Yes. Yi Large 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 Yi Large?

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 Yi Large?

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 Yi Large deployment needs.

Open-Source AI Model

Yi Large

Name: Yi Large
Author: 01.AI

Developed by 01.AI

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

Key Capabilities

Strong bilingual English and Chinese performance
200K extended context window
Apache 2.0 license for open versions
Competitive with LLaMA 2-70B at half the parameters
Strong coding and mathematical reasoning

VRAM Requirements by Quantization

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

Model / Quantization	VRAM Required
34B FP16	68GB
34B Q4	20GB

Use Cases

Yi Large (34B (Yi-34B), with Yi-Large API at undisclosed larger size) can be deployed for enterprise AI applications including document processing, code generation, data analysis, and conversational AI. License: Apache 2.0 (Yi-34B open version).

Run Yi Large with Petronella

PTG deploys Yi models for businesses with Chinese-English bilingual AI needs. Apache 2.0 licensing and strong benchmark performance make Yi an excellent cost-effective choice.

Recommended Hardware

Model Size	Recommended GPU
34B FP16	RTX PRO 6000 Blackwell (96GB)
34B Q4	RTX 5090 (32GB) or RTX PRO 5000 (48GB)

Deploy Yi Large On-Premises

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

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Yi Large

⚡Key Capabilities

📌VRAM Requirements by Quantization

🚀Use Cases