Unverified50% confidenceReleaseExact time
A project named '爱今天开源Demo灯3.5 74B' compresses a 74-billion-parameter model to 24GB of VRAM, exactly fitting a single RTX 4090 or 3090.
1
Sources
50%
Confidence
Short-term (~14 days)
Relevance
10/15/2026
First Seen
Valid until: 10/29/2026
Sources
74B Model Squeezed into 24GB VRAM: Running Locally for Free on a Single 4090
bilibilijeffzhengye10/15/2026
Related Entities
Related Claims
UnverifiedAfter quantization, the VRAM requirement of a 7-billion-parameter model is compressed from approximately 28 GB to approximately 4–6 GB, allowing consumer-grade GPUs such as the RTX 3060/4060 to run 7-billion-parameter-class models like Llama 3, Qwen2.5, and Mistral smoothly.78% similarVerified32B参数规模的模型在量化后通常可以压缩到约16-20GB显存占用，一张NVIDIA RTX 4090（24GB显存）就能运行78% similarVerifiedConsumer-grade GPUs such as the RTX 4090 have 24 GB of VRAM and can run quantized models with billions of parameters.74% similar
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