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LG's roadmap for its next-generation Qwen large language model (LLM) series extends to a maximum of 10 trillion parameters, according to the company's published plans for the AI model family.
The roadmap outlines a scaling path for the Qwen model line, with the largest planned configuration reaching 10 trillion parameters. The figure represents the upper bound of the publicly stated plans for the next-generation models.
LG has been positioning its AI model development as a key part of its broader technology strategy, and the parameter targets indicate the scale the company aims to reach in future model generations.
Large language models are typically measured by parameter count as one indicator of capacity, with leading developers worldwide pursuing ever-larger architectures. LG's stated ceiling of 10 trillion parameters places its ambitions among the largest publicly announced LLM roadmaps.
Details on release timing and deployment for the models described in the roadmap were not specified beyond the parameter targets themselves.
The claim that LG's next-generation Qwen roadmap extends to a maximum of 10 trillion parameters is True.