Meta Drops 405 Billion Parameters Into the Open
Meta released Llama 3.1 405B, a 405 billion parameter model that matches or exceeds GPT 4 on several benchmarks. The weights are available for free download. Users can run it locally or on inexpensive cloud instances without paying per token API fees.
You stop treating frontier models as rented black boxes. You can now fine tune or distill a top tier model on your own hardware or budget. This changes decisions about data privacy, cost modeling, and long term dependency on single vendors.
Hugging Face hosts the weights at https://huggingface.co/meta-llama/Meta-Llama-3.1-405B and reports over 250,000 downloads in the first week. Independent labs have already produced 8 bit quantized versions that run on single H100 GPUs.
Step 1: Visit https://ai.meta.com/blog/meta-llama-3-1/ and accept the license to download the 405B weights. Step 2: Install Hugging Face Transformers and load the model with 4 bit quantization using bitsandbytes. Step 3: Run a benchmark prompt locally and compare latency and cost against any GPT 4 API call you previously used.