What is the largest LLM model?

The Largest LLM: Goliath 120B and the Open Frontier

When it comes to large language models (LLMs), size often correlates with capability. As of early 2024, one name stands out in the open-source arena: Goliath 120B. While tech giants like Google, Meta, and OpenAI continue to push proprietary models behind closed doors, Goliath 120B represents a rare beast in the open domain—probably the largest open LLM worth actually running.

With 120 billion parameters, Goliath 120B competes with many commercial-grade models, offering strong reasoning, code generation, and natural language understanding. It’s not just big for the sake of size; it's built to be useful. The model strikes a balance between performance and accessibility, making it a favorite among developers and AI enthusiasts who value transparency and control.

You can try Goliath 120B today through platforms like OpenRouter, which provides easy access without needing high-end local hardware. But if you want full control—or simply enjoy tinkering—you can run a quantized version locally. Quantization reduces the model’s memory footprint, allowing it to run on consumer-grade GPUs, albeit with a slight trade-off in precision.

What makes Goliath 120B special isn’t just its scale, but its openness. While models like GPT-4 or Gemini Ultra remain proprietary, Goliath invites experimentation, scrutiny, and community-driven improvement. That openness fuels innovation, letting researchers and hobbyists alike explore the frontiers of what AI can do—without corporate gatekeeping.

In a landscape dominated by black-box systems, Goliath 120B is a statement: powerful AI doesn’t have to be locked away. For now, it stands as a giant among open models—a testament to what’s possible when knowledge isn’t hoarded, but shared.