Through distillation, high-accuracy models can be trained even with limited compute power
The PrivModel toolkit supports distilling large base models into lightweight, high-performance versions, making them suitable for real-world business applications and enabling maximum business value. Its architecture is fully compatible with enterprise-grade GPU environments (such as NVIDIA H100, H200, and B200) and integrates APMIC’s pre-optimized training techniques to significantly accelerate the model development process.
Streamlined Training Pipeline
PrivModel integrates all core processes for building high-performance AI models, including continual pre-training, instruction tuning, distillation, and reinforcement learning from AI feedback (RLAIF). This streamlined pipeline empowers AI teams to deliver efficient, cost-effective, and deployable models—fast. The training process follows a Teacher–Student architecture, with key stages including:
Choosing the Right Teacher Model
High-potential models from the open-source community are selected as the foundation. Each model is paired with optimization strategies tailored to your enterprise’s specific use cases.
Developing Your Enterprise AI Brain
Through continual pre-training and fine-tuning, your enterprise data and internal knowledge are embedded into the model—enhancing its contextual understanding and task-specific adaptability. The result is a proprietary, domain-specific AI asset delivered to you.
Lightweight & High-Performance Models
Via our advanced distillation techniques, your Enterprise AI Brain is transformed into a lightweight, specialized model. This reduces model size without compromising accuracy—dramatically lowering inference costs and increasing deployment flexibility across platforms.
Maximize Value at Minimal Cost
Cloud models (ChatGPT, Gemini, Claude) grow expensive with usage. APMIC PrivModel runs locally at under one-tenth the cost, ensuring sustainable savings.
_eng.png)
.png)
How to Import
Four Tiers Tailored to Every Enterprise Needs
%20(4)_eng.png)
Talk to Our Team
Ready to accelerate your AI capabilities? Our team is here to help you explore how APMIC’s PrivModel solution—purpose-built for high-efficiency, enterprise-grade AI—can support your business goals. Whether you're looking to customize a private LLM, simplify deployment, or unlock more value from your data, we’re ready to help you take the next step. Talk to our team
FAQ
We’ve compiled the most frequently asked questions about the PrivModel service. Whether you’re in the early evaluation stage or ready to start your project, the following answers will help clarify your direction and address any concerns.
PrivModel is not just a fine-tuning tool — it’s an end-to-end solution that combines fine-tuning and model distillation.
Traditional fine-tuning tools typically only adjust model parameters for specific tasks, while keeping the original model size. This results in high compute requirements and limited deployability.
PrivModel, on the other hand, not only fine-tunes the model with enterprise-specific data but also distills it into a lightweight version, significantly reducing inference costs and deployment barriers — ideal for on-premises or resource-constrained environments.
Unlike ChatGPT, which is a general-purpose cloud model, PrivModel models are trained using your enterprise’s proprietary data and can be deployed entirely within your internal systems, ensuring that data never leaves your organization.
ChatGPT doesn’t understand your internal workflows, contract formats, or product details. Through the PrivModel distillation process, your data becomes part of the model’s knowledge base, allowing the AI to deliver more precise and contextually relevant answers tailored to your specific business scenarios.
PrivModel supports teacher models such as Llama and DeepSeek R1, as well as any enterprise-specified teacher model — as long as the format is compatible and outputs are stable.
However, successful distillation depends on your model architecture, data format, and task complexity. We recommend contacting the APMIC team through the Contact Us page for a technical evaluation and customized guidance.
Yes. PrivModel currently supports fine-tuning and distillation in Traditional Chinese and English, with performance-optimized inference for Traditional Chinese to ensure stability and efficiency.
Typically, it takes around 30 to 90 days to complete a customized enterprise fine-tuning and distillation process.
The exact duration depends on data volume and task complexity. We recommend conducting a technical assessment first — please contact the APMIC team through the Contact Us page for expert consultation.
We evaluate model accuracy using benchmark test sets that simulate real enterprise use cases, such as TMMLU+, to measure the model’s reasoning and comprehension.
Additionally, we test the model directly on your real-world business data (e.g., query, summarization, comparison tasks) to assess its practical accuracy and reliability.
Pricing varies depending on your data volume and task complexity.
We suggest conducting a preliminary technical evaluation — contact the APMIC team via the Contact Us page, and we’ll provide tailored recommendations based on prior project experience.
PrivModel
Tailored Fine-Tuning and Distillation Solutions
Exclusive Services for Industry Leaders
Built on the NVIDIA NeMo™ framework, PrivModel is your ideal solution for developing specialized AI models on-premises. Our expert AI team employs knowledge fine-tuning and advanced distillation techniques to help you master essential technologies while minimizing resource use, leading to a lower total cost of ownership (TCO).
.png)