Falcon LLM

Falcon LLM is the family of open-weight large language models from the Technology Innovation Institute (TII) in Abu Dhabi — released under Apache 2.0, making them among the most permissively licensed models available at competitive performance levels.

The Problem

GPT-4, Claude, and Gemini are closed API products. You pay per token, cannot run them offline, and cannot fine-tune their weights on your own data without going through a provider API that still sends data to their servers. Meta's Llama models carry a custom license restricting commercial use above certain monthly active user thresholds. For teams that need strong model performance with genuinely unrestricted commercial terms, options have historically been limited.

How Falcon LLM Solves It

Falcon was released under Apache 2.0 with no usage caps, no MAU thresholds, and no attribution requirements beyond the license itself. The Falcon 3 family covers 1B, 3B, 7B, and 10B models for edge and local deployments. RefinedWeb — the 5-trillion token filtered web corpus used for training — was also publicly released, which is unusual at this scale. Instruction-tuned -instruct variants are available for zero-shot task completion without fine-tuning.

Key Features

• Models from 1B to 180B parameters; Falcon 3 covers 1B, 3B, 7B, 10B sizes
• Apache 2.0 license: unrestricted commercial use, no MAU caps, no special terms
• RefinedWeb training corpus publicly released alongside model weights
• Multimodal variant: Falcon-11B-vision supports image understanding alongside text
• Instruction-tuned -instruct variants for zero-shot task following
• GGUF format supported for llama.cpp and Ollama local deployment

Who It's For

Falcon LLM is best for organizations that need permissively licensed model weights for commercial products without usage-based billing, teams fine-tuning LLMs on proprietary data without sending it to a cloud provider, and developers who want frontier-competitive performance with clear, unambiguous commercial terms.

Compared to Llama

Unlike Meta's Llama models, Falcon LLM uses a standard Apache 2.0 license with no MAU caps or commercial use thresholds — making it a simpler legal choice for organizations building products that may scale to large user bases.