Verified75% confidenceFactExact time
Local large language models refer to AI language models that run on the user's own devices, with a technical foundation that includes model quantization, efficient inference engines, and model distillation.
3
Sources
75%
Confidence
Long-term
Relevance
8/10/2026
First Seen
Sources
Related Claims
UnverifiedLarge language models are typically released in two forms: Base Model and Instruction-tuned Model.78% similarVerifiedThe tool-calling mechanism allows large language models to dynamically invoke external functions during inference, representing a fundamental leap from language models to action models.78% similarUnverified即梦AI Agent模式的技术依赖于大语言模型（LLM）的推理能力与多模态生成模型的协同配合75% similarUnverifiedIndustrial edge endpoints typically run lightweight real-time inference models that have been distilled and quantized, as well as local rule engines, while full large language models, due to their massive parameter counts, are usually run on the cloud or private compute platforms and are only used for offline analysis and decision support.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/723532API
curl https://kongchang.com/api/v1/knowledge/claims/723532MCP
get_claim(id=723532)