Open Source LLM Downloads

A Private LLM is a large language model that you host and control—either on your own hardware, within your own private cloud, or through an isolated deployment managed by LLM.co. Unlike public APIs (like OpenAI or Anthropic), private LLMs allow you to run inference, fine-tuning, and data ingestion without sending sensitive information over the internet to third parties. This gives your team full control over data privacy, security, cost, and model behavior. You can also tailor the model to your domain-specific language and regulatory needs, something that’s either restricted or entirely unavailable with public LLM providers.

Security is core to everything we build. Whether you're deploying in the cloud, on-prem, or using our hardware appliance, your data remains fully encrypted in transit and at rest. Our platform supports role-based access controls, audit logging, private model training, and zero internet dependencies when deployed offline. For regulated industries like healthcare, finance, and legal, our architecture is designed to meet and exceed compliance frameworks like HIPAA, SOC 2, GDPR, and ISO 27001. We also support optional air-gapped installations, ensuring absolute data isolation for clients with the most stringent requirements.

Yes. One of the biggest advantages of using LLM.co is the ability to fine-tune or augment a model using your proprietary data. You can start with open-source foundation models (like LLaMA, Mistral, or Mixtral), or bring your own, and then layer on your own documents, contracts, emails, call transcripts, and knowledge bases to improve output quality. We support fine-tuning as well as retrieval-augmented generation (RAG), allowing you to keep the base model intact while enhancing its contextual awareness of your specific domain.

LLM.co offers flexible deployment options—from lightweight hardware boxes for edge or offline environments to full GPU-powered clusters for enterprise-scale use cases. If you don’t want to manage infrastructure yourself, we also offer cloud-hosted private instances with GPU acceleration. For clients that want the highest level of control and privacy, our LLM Box provides a plug-and-play, fully offline solution capable of running large models in secure, air-gapped settings. We’ll work with you to choose the right setup based on your use case, data volume, and performance requirements.

We provide a robust API, SDKs in multiple languages, and integrations with popular tools like Slack, Notion, Salesforce, SharePoint, and n8n.io. You can also build custom workflows using our agentic AI infrastructure, which allows the model to query databases, summarize emails, draft documents, and even trigger automated actions across your internal software. Whether you’re a legal team looking to analyze contracts or an IT department building a secure internal search assistant, LLM.co makes it easy to integrate private AI directly into your existing tech stack.