Open-weight LLMs

• As of November 10, 2026, the most downloaded model here is Qwen/Qwen3-0.6B, with 20.7M downloads in the last 30 days.
• Qwen leads by downloads, with 150.5M across its 50 models, followed by DeepSeek with 23M.
• 60.8 percent of the models with a stated license use Apache 2.0, MIT, or a similar permissive license. The most common is apache-2.0, on 344 models.
• The largest model by parameter count is moonshotai/Kimi-K3.1-Pro, at 2.8T parameters.
• 138 of the 901 models require accepting terms before download.
• The newest model in the list is tencent/Qwen3.8-27B-DSpine-b16, created on November 7, 2026.

• Scope. Up to 40 of the most downloaded text-generation and image-text-to-text models from each of 24 labs on the Hugging Face Hub. The lab list is curated, so this is not a full census of open models.
• Original releases only. Repositories that are quantized copies or format conversions, such as GGUF and MLX builds, are filtered out by name. A fine-tune published by a listed lab is included.
• Downloads. Hugging Face reports downloads over the last 30 days. It counts automated pulls, such as CI runs, as well as people, so small models often rank high.
• License. The value is the one declared on the model card, and a custom license appears under its own name. Read the license itself before you ship: several restrict commercial use or large deployments.
• Parameter count comes from the model's safetensors metadata and is blank when the repository does not publish it.
• Generation. A script reads the Hugging Face API and stops if it finds fewer models than expected.

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