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
UnverifiedWith inference frameworks such as Ollama and llama.cpp, ordinary consumer-grade GPUs like the RTX 4090 can run models with up to 70B parameters smoothly.74% similarUnverifiedINT4/INT8 quantized model versions can run models with fewer than 70B parameters on consumer-grade GPUs such as the RTX 4090.70% similarVerifiedLoRA makes it possible to fine-tune billion-parameter models on consumer-grade GPUs such as the RTX 4090.69% similarUnverifiedGoogle released Gemma 4 E2B for TPU, an open model built specifically for the Tensor G5 chip in the Pixel 10 series.66% similarUnverifiedOpen-source models can be run on consumer-grade GPUs (such as the NVIDIA RTX 4090 with 24GB VRAM) via inference frameworks such as Ollama, llama.cpp, and LM Studio.64% similar
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