Unverified50% confidenceFactExact time
配合模型量化技术,7B甚至13B参数级别的模型能够在手机上以每秒数个token的速度进行推理
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/5/2026
First Seen
Valid until: 11/3/2026
Sources
Nightcrawler:手机本地运行的AI渗透测试代理深度解析
Related Claims
Unverified思维链提示与少样本示例可提升7B至14B参数量级模型在复杂编码任务上的成功率75% similarUnverifiedThe Lingbot World model has a scale of 14 billion (14B) parameters, adopts a causal autoregressive architecture, and has been optimized for inference speed68% similarUnverified对于千亿参数模型,一次完整检查点保存可能涉及数TB数据,包含模型权重和Adam优化器的一阶及二阶矩状态66% similarUnverifiedKnowledge distillation, quantization, and pruning are key model compression techniques for achieving real-time inference on mobile devices.66% similarUnverified利用 ONNX Runtime、TensorRT 等推理框架进行模型量化(INT8/FP16)通常能带来 2-10 倍的推理加速65% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/687644API
curl https://kongchang.com/api/v1/knowledge/claims/687644MCP
get_claim(id=687644)