Unverified50% confidenceFactExact time
Currently, locally run large language models typically range from 7B to 13B parameters, and can run on consumer-grade hardware through 4-bit or 8-bit quantization
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/6/2026
First Seen
Valid until: 11/4/2026
Sources
Hansel：本地加密的AI工作记忆助手，自动记录你做过的一切
Related Claims
UnverifiedA 7B (7 billion) parameter large language model requires approximately 14GB of VRAM at FP16 precision.75% similarUnverifiedConstrained by consumer-grade hardware (especially VRAM), Ollama can typically only run quantized models with 7B–13B parameters.71% similarUnverified现代大语言模型通常使用768维、1024维甚至更高维度的嵌入70% similarUnverifiedOllama支持GGUF格式的量化模型，可以在消费级硬件（如16GB内存的笔记本电脑）上流畅运行7B-13B参数规模的模型70% similarUnverified消费级硬件（如16GB内存的笔记本电脑）可以通过Ollama流畅运行7B-13B参数规模的开源模型70% similar
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