Meta Hands Over the 405 Billion Parameter Keys
Meta released Llama 3.1 405B under an open license. The model contains 405 billion parameters and matches or exceeds closed frontier systems on standard benchmarks. Users can download weights, run inference locally, or fine tune without paying per token fees.
Access to a frontier scale model removes the paywall between experimentation and production. Teams can now iterate on prompts, data, and fine tuning loops inside their own infrastructure instead of metering every request through an external endpoint.
Hugging Face hosts the weights and reports over 1.2 million downloads in the first week after release. Independent labs such as LMSYS have already placed the model at the top of several open leaderboards.
Step 1: Visit huggingface.co/meta-llama/Meta-Llama-3.1-405B and request access. Step 2: Install the Hugging Face Transformers library and load the model with from_pretrained. Step 3: Run a local inference script to generate text and confirm the model runs on your GPU cluster without external API calls.