Meta Drops 405-Billion-Parameter Llama 3.1 With Full Commercial Rights
Meta released the full weights of Llama 3.1 405B under a commercial license that permits fine-tuning and redistribution. The model matches or exceeds GPT-4 on several benchmarks and runs on eight H100 GPUs with 80 GB each. Developers can download the weights from Hugging Face and deploy them on rented cloud instances for roughly $2 per hour.
Teams no longer need to rent closed frontier models for every large task. Local or private-cloud deployment reduces data exposure and per-token costs. The technique to adopt is retrieval-augmented generation plus targeted fine-tuning on domain data to close the remaining capability gap.
The open-source collective EleutherAI fine-tuned Llama 3.1 405B on legal documents and achieved 12-point gains on their internal contract-review benchmark while keeping all data on-premises.
Step 1: Go to huggingface.co/meta-llama and request access to the 405B weights. Step 2: Use the Hugging Face text-generation-inference Docker image to serve the model on a cloud instance with eight H100 GPUs. Step 3: Send prompts via the OpenAI-compatible endpoint at localhost:8080 and compare output quality against your current paid API.