Meta Publishes Full Weights for Llama 3.1 405B Under Open License
Meta released the complete 405 billion parameter weights for Llama 3.1 along with training code and evaluation benchmarks. Anyone can download the model from Hugging Face and run inference on local GPUs or cloud instances. The release removes API costs for tasks that previously required paid frontier models.
This removes the cost barrier between hobby projects and production grade reasoning. Readers can now test advanced capabilities without usage caps or per token fees. Local deployment also addresses data privacy concerns that cloud APIs create.
The Meta AI research team published the weights on July 23, 2024. Independent developers have since fine tuned the model for specialized domains and reported competitive results against closed models on coding and math benchmarks.
Step 1: Visit huggingface.co/meta-llama/Meta-Llama-3.1-405B and request access through your Hugging Face account. Step 2: Download the model weights using the transformers library and load them on hardware with at least 80 GB of VRAM. Step 3: Run inference locally with the provided example scripts and compare outputs against your current paid API.