Verified75% confidenceFactExact time
Dense 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.
5
Sources
75%
Confidence
Medium-term (~90 days)
Relevance
8/16/2026
First Seen
Valid until: 11/14/2026
Sources
Meta开源Muse-Glimmer-30B模型：Agent能力全面对标Qwen，本地部署指南
Related Claims
UnverifiedThe RTX 4090 has 24GB of VRAM and can smoothly run most 13B–34B quantized models76% similarUnverified27B稠密模型在24GB M4 Pro Mac mini上使用4-bit量化可以运行，速度约为11 tok/s76% similarUnverifiedA 27B-parameter model can run in quantized form on a consumer-grade GPU with 24GB of VRAM (such as the NVIDIA RTX 4090), without requiring data-center-level hardware.75% similarUnverifiedThe RTX 4090 has 24 GB of VRAM, and after loading the 27B Q4 model, there is typically enough space remaining to support a context of 30,000–40,000 tokens.73% similarUnverified24GB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73% similar
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