Unverified50% confidenceFactExact time
9B级模型（如Meta LLaMA 3、Google Gemma 2）能够在消费级GPU（如单张RTX 4090）上完成本地推理
1
Sources
50%
Confidence
Long-term
Relevance
7/23/2026
First Seen
Sources
Related Claims
Unverified配合Ollama、llama.cpp等推理框架，普通消费级GPU如RTX 4090可流畅运行70B参数以内的模型74% similarUnverifiedINT4/INT8量化版本模型可在消费级GPU如RTX 4090上运行70B以下参数规模的模型70% similarVerifiedLoRA使得在消费级GPU（如RTX 4090）上微调十亿级参数模型成为可能69% similarUnverified谷歌发布了 Gemma 4 E2B for TPU，这是一款专为 Pixel 10 系列的 Tensor G5 芯片打造的开放模型66% similarUnverified开源模型可通过 Ollama、llama.cpp、LM Studio 等推理框架在消费级 GPU（如 NVIDIA RTX 4090，显存24GB）上运行64% similar
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