Expired75% confidenceFactTime unknown
A single RTX 4090 with 24 GB of VRAM can run the 4-bit quantized version of Qwen3-32B smoothly.
5
Sources
75%
Confidence
Medium-term (~90 days)
Relevance
6/1/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 8/30/2026(expired)
Sources
Related Entities
Related Claims
UnverifiedThe RTX 4090 has 24GB of VRAM and can smoothly run most 13B–34B quantized models82% similarUnverifiedFor the RTX 4090 (24GB VRAM), WhichLLM may recommend the Q5 quantized version of Qwen3.6 27B, with an estimated inference speed of approximately 27 tokens per second.82% similarUnverifiedQwen2.5-Coder-32B running with Q4 quantization on an RTX 4090 can achieve an inference speed of 40–60 tokens per second.81% 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.81% similarUnverifiedA single RTX 3090 (24GB) cannot run Qwen3 27B; two are required.80% similar
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