Unverified75% confidenceFactTime unknown
对于RTX 4090(24GB显存),WhichLLM可能会推荐Qwen3.6 27B的Q5量化版本,预计推理速度约为每秒27 Token
1
Sources
75%
Confidence
Medium-term (~90 days)
Relevance
6/3/2026
First Seen
Valid until: 9/1/2026
Sources
WhichLLM:一键检测你的电脑最适合跑哪个本地大模型
bilibili锋芒AI
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Related Claims
UnverifiedQwen2.5-Coder-32B在RTX 4090上以Q4量化运行,推理速度可达每秒40-60个token83% similarUnverified一块24GB显存的RTX 4090可流畅运行Qwen3-32B的4-bit量化版本82% similarVerifiedQLoRA引入4-bit量化技术,使得在单张24GB显存的RTX 3090/4090上微调650亿参数级别的模型成为可能79% similarUnverifiedRTX 5090上Qwen3.6 27B模型预填充速度从174提升到253 token/s,显存占用约18GB78% similarUnverified在显存充足、模型完整驻留GPU时,RTX 4090跑Q4量化的27B模型通常可达15~30 tokens/s;触发CPU卸载后速度可能骤降至1~2 tokens/s甚至更低77% similar
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https://kongchang.com/claim/38146API
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get_claim(id=38146)