Meta Drops Llama 3: 8B and 70B Models You Can Run Without Paying API Bills
Meta released Llama 3 8B and 70B as fully open weights. The models match or exceed closed competitors on standard benchmarks while running on consumer GPUs or inexpensive cloud instances. Users download the weights from Hugging Face or Meta's site and load them with libraries such as Hugging Face Transformers or Ollama.
Running models locally removes usage caps and data logging. Teams gain reproducible environments and can fine-tune on private datasets without external rate limits. This shifts workflows from prompt-and-pay to full model ownership.
Hugging Face hosts the weights and reports thousands of daily downloads; indie developer communities on Reddit's r/LocalLLaMA share quantized versions that run the 70B model on single RTX 4090 cards with acceptable latency.
Step 1: Visit https://huggingface.co/meta-llama and accept the license. Step 2: Install Ollama from ollama.com and run 'ollama run llama3:70b'. Step 3: Enter prompts in the terminal; responses stream locally with no API costs.