Expired60% confidenceFactExact time
Models 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.
2
Sources
60%
Confidence
Medium-term (~90 days)
Relevance
7/16/2026
First Seen
Valid until: 10/14/2026(expired)
Sources
Related Claims
VerifiedThe Qwen2.5:7B model is approximately 4 GB in size after Q4 quantization.83% similarUnverifiedLlama 3 70B量化版（Q4精度）仍需约35GB内存78% similarUnverifiedOrnith 1.5 requires approximately 23 GB of VRAM for the recommended Q4_K_M quantization with the full package, and it is advised to prepare 27 GB or more; Qwen 3.8 at the same Q4_K_M tier requires only 16 to 19 GB.78% similarUnverifiedThe developer uses the Qwen3.6-35B-A3B model: it has 35B weights in total, uses only 3B weights when processing each word, has a computational cost comparable to ordinary 4B and 8B models, and runs on their own gateway (vLLM).77% similarUnverifiedThe developer's demo used the Qwen 3.6 27B model, and users with limited hardware are advised to choose lighter 4B or 8B models.76% similar
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