Unverified50% confidenceFactExact time
Due to the hardware constraints of personal computers, the models that can be run locally are typically small models with 1.5B, 7B, or 8B parameters.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/16/2026
First Seen
Valid until: 12/15/2026
Sources
Related Entities
Related Claims
UnverifiedWith advances in quantization technology and improvements in consumer-grade hardware performance, models at the 7B and 13B level can already run smoothly on ordinary laptops or workstations.71% similarUnverifiedTaking a Mac with Apple Silicon chips as an example, running a local language model with 7B parameters typically requires 4–8 GB of memory70% similarUnverifiedDify local deployment hardware requirements are a minimum of 2 CPU cores and no less than 4 GB of memory.70% similarPartially VerifiedFor the 4-bit quantized version of a 7B parameter model, at least 8GB of memory and a modern multi-core CPU are typically required for smooth operation, with inference speeds of approximately 10–30 tokens per second69% similarUnverified8GB统一内存在运行较大参数量模型时相当捉襟见肘，留给操作系统和其他应用的空间极为有限69% similar
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