Unverified50% confidenceFactExact time
Ornith 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.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/11/2026
First Seen
Valid until: 12/10/2026
Sources
Related Entities
Related Claims
UnverifiedDeploying Qwen3 27B with 16 GB of VRAM limits the choice to the Q3_K_XL GGUF quantization version, which is the highest precision that 16 GB of VRAM can accommodate.78% 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.78% similarUnverifiedUsing the V100 (16GB VRAM) as a reference, the Ornith 9B model at Q6_K requires approximately 7–8GB of VRAM, while the 35B MoE requires approximately 20–22GB and needs dual V100s.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.75% similarVerifiedThe Qwen2.5:7B model is approximately 4 GB in size after Q4 quantization.74% similar
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