Several organizations publish widely used open-weight model families:
Meta develops Llama, with general-purpose dense and mixture-of-experts models.
Mistral AI develops Mistral and Mixtral, plus coding and smaller edge-focused variants.
Alibaba develops Qwen, including general, coding, vision, and reasoning models.
DeepSeek develops large mixture-of-experts and reasoning models.
Google develops Gemma, including compact and multimodal variants.
Microsoft develops Phi, a family focused on smaller models.
Model names, sizes, licenses, and supported context lengths change often. Check the official model card before choosing one. Compare candidates on your own task, hardware, language needs, safety tests, and license terms. Family reputation is only a shortlist; it does not replace evaluation of the exact checkpoint and quantization you plan to deploy.
Rewriting in plainer words…
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