Unverified50% confidenceFactExact time
The Tev1 4b model has approximately 4 billion parameters.
1
Sources
50%
Confidence
Long-term
Relevance
10/1/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA 2.4-trillion-parameter model requires approximately 9.6 TB of VRAM in FP32, about 4.8 TB in BF16, about 2.4 TB in INT8, and about 1.2 TB in INT4.76% similarUnverifiedQwen 3.8's 27-billion-parameter model is approximately 15.3 GB after 4-bit quantization, but actual memory usage can surge to over 17 GB after a conversation of several thousand characters, meaning 16 GB of VRAM is insufficient and 24 GB is needed for comfortable use.73% similarVerifiedThe flagship version of Qwen3 has a parameter count as high as 235B and a size of approximately 142 GB.71% similarUnverifiedRecommended VRAM tiers for local deployment: 4–6 GB VRAM for ~4-billion-parameter models, 8 GB for ~9-billion-parameter models, 16 GB for ~14-billion-parameter models, and 24–32 GB for ~27-billion-parameter models.71% similar
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