Unverified75% confidenceFactTime unknown
将模型权重从FP16压缩到INT8或INT4的量化技术，可使消费级GPU如RTX 4090在本地部署时达到30-80 TPS的实用速度
1
Sources
75%
Confidence
Long-term
Relevance
6/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLoRA fine-tuning based on Stable Diffusion can be completed on ordinary consumer-grade GPUs (such as RTX 3090/4090 with 16–24 GB VRAM), typically achieving satisfactory results within 1–4 hours.78% similarUnverifiedConsumer-grade GPUs such as the RTX 4090 have 24 GB of VRAM and can run quantized models with billions of parameters.76% similarVerifiedThe consumer-grade GPU RTX 4090 has a VRAM ceiling of 24 GB.75% similar
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