Expired65% confidenceFactExact time
The flagship version of Qwen3 has a parameter count as high as 235B and a size of approximately 142 GB.
3
Sources
65%
Confidence
Medium-term (~90 days)
Relevance
7/17/2026
First Seen
Valid until: 10/15/2026(expired)
Sources
Related Claims
VerifiedQwen3-series coding models load at approximately 20 GB and can expand to 35–40 GB during inference.77% similarUnverifiedFor a model of approximately 160 GB (such as the UD-Q3_K_XL quantized version of Qwen3.5-397B), running the lens requires approximately 20 GB of additional memory.73% similarUnverifiedLocal deployment of the 2.4-trillion-parameter Qwen3.8 requires approximately 1.4–1.5 TB of GPU memory, necessitating quantization or a multi-GPU cluster.73% similarVerifiedA 70B-parameter FP16 model requires approximately 140 GB of video memory, approximately 70 GB after INT8 quantization, and approximately 35–40 GB after INT4 quantization.72% similarUnverifiedModels in the 3B–4B range, such as Qwen2.5 3B or Llama 3.2 3B, require only 2 to 2.5GB of VRAM under Q4 quantization.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/544350API
curl https://kongchang.com/api/v1/knowledge/claims/544350MCP
get_claim(id=544350)