Unverified50% confidenceDecision RuleExact time
24GB显存跑4Bit量化是通义千问3-27B部署的性价比甜点区，日常使用完全够用
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
8/27/2026
First Seen
Valid until: 11/25/2026
Sources
Related Entities
Related Claims
VerifiedA 30B parameter model that originally required 60 GB of VRAM can run on consumer-grade GPUs with 16 GB or even 8 GB of VRAM after quantization.74% similarUnverifiedA 35B model requires approximately 70GB of VRAM at FP16 precision, far exceeding the RTX 5090's 32GB capacity, so single-GPU deployment requires quantization.73% similarUnverifiedDense models at the 30B scale are considered the sweet spot for local deployment, capable of running on Apple Silicon devices such as M2 Ultra (192GB) and M4 Pro (48GB), or on an RTX 4090 (24GB VRAM) with the aid of quantization techniques.73% similarUnverifiedThe 35B-A3B mixture-of-experts model has 35B total parameters, with approximately 3 billion parameters actually activated per inference, making it suitable for running on GPUs with 16 GB of VRAM.72% similarUnverifiedEven compressing the weights to 214GB using 4-bit quantization still far exceeds the capacity of a single 48GB GPU.72% similar
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