Verified65% confidenceFactTime unknown
The 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.
3
Sources
65%
Confidence
Long-term
Relevance
6/2/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedModels with 32B parameters can typically be compressed to approximately 16–20 GB of VRAM usage after quantization, and can be run on a single NVIDIA RTX 4090 (24 GB VRAM).84% similarVerifiedThe consumer-grade GPU RTX 4090 has a VRAM ceiling of 24 GB.80% similarUnverifiedThe RTX 4090 has 24GB of VRAM and can smoothly run most 13B–34B quantized models79% similar
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