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. Unlike public APIs, private LLMs allow you to run inference, fine-tuning, and data ingestion without sending sensitive information to third parties. This gives your team full control over data privacy, security, cost, and model behavior, with ability to tailor the model to domain-specific language and regulatory needs.

Security is core to everything built. Data remains fully encrypted in transit and at rest. The platform supports role-based access controls, audit logging, private model training, and zero internet dependencies when deployed offline. Architecture is designed to meet compliance frameworks like HIPAA, SOC 2, GDPR, and ISO 27001, with optional air-gapped installations for absolute data isolation.

Yes. You can start with open-source foundation models like LLaMA, Mistral, or Mixtral, then layer on proprietary data including documents, contracts, emails, and knowledge bases to improve output quality. Both fine-tuning and retrieval-augmented generation (RAG) are supported.

LLM.co offers flexible deployment options from lightweight hardware boxes for edge environments to full GPU-powered clusters for enterprise-scale use cases. Cloud-hosted private instances with GPU acceleration are available, plus the LLM Box for plug-and-play offline solutions.

A robust API, SDKs in multiple languages, and integrations with Slack, Notion, Salesforce, SharePoint, and n8n.io are provided. Custom workflows using agentic AI infrastructure allow models to query databases, summarize emails, and trigger automated actions.