OpenLLaMA

OpenLLaMA is an open, permissively licensed (Apache 2.0) reproduction of Meta’s LLaMA model developed by OpenLM Research. The models are available in 3B, 7B, and 13B parameter sizes, trained on approximately 1 trillion tokens from open datasets, and can serve as a drop-in replacement for LLaMA in existing implementations. OpenLLaMA comes with weights for PyTorch / Hugging Face and JAX / EasyLM, making it convenient for integration into a wide range of stacks and infrastructures. The base architecture is a decoder-only Transformer close to the original LLaMA, with a context window of about 2048 tokens, meaning the model is well suited for dialogues, medium-length documents, and code generation. Thanks to its open weights and permissive license, OpenLLaMA can be freely used in commercial projects - from startups to enterprise solutions. It is used to create chatbots and assistants for websites and applications, RAG systems over internal knowledge bases, local on-prem solutions with increased privacy, code copilots for developers, and embedded AI modules in SaaS products. The FreeBlock team handles the full cycle of solution development based on OpenLLaMA: choosing the optimal model size (3B/7B/13B), fine-tuning it on your data, designing the architecture (RAG, agents, integrations with CRM/ERP/DWH), and deploying it in the cloud or in the customer’s infrastructure. If you want a reliable open LLM solution without hard vendor lock-in, order AI project development based on OpenLLaMA from FreeBlock.