Unverified50% confidenceSolutionExact time
The Strata engine keeps the main body of the model resident in system memory and dynamically loads only the layers needed for the current inference into VRAM, enabling a computer with 12GB of VRAM to run a 125-billion-parameter model.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
12GB GPU Runs a 125-Billion-Parameter LLM Locally: Strata Hands-On Test
bilibili宇智波刘能king10/15/2026
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Related Claims
UnverifiedWith Ollama, an ordinary computer equipped with 16GB of memory can run models with 7B to 14B parameters for everyday tasks.72% similarUnverifiedA 125-billion-parameter model can run on 12G of VRAM, relying mainly on model quantization and a mixture-of-experts (MoE) architecture, achieved by activating only part of the expert parameters, quantizing weights to 4bit or lower, and dynamically loading inactive parameters from memory or SSD on demand.71% similarVerifiedRunning local large models with more than 7 billion parameters typically requires a GPU with at least 16GB of VRAM.69% similarUnverifiedEvery time a model generates a token, the entire model must be read completely from memory, yielding the speed upper bound: memory bandwidth ÷ model size.68% similarUnverified在配备16GB内存的笔记本电脑上运行70亿参数的模型已经成为现实68% similar
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