Unverified50% confidenceFactExact time
The Nanosaur 2 model itself is approximately 1.3 GB, and the total size is approximately 2 GB after loading the text encoder and VAE.
1
Sources
50%
Confidence
Long-term
Relevance
9/26/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedEven compressing the weights to 214GB using 4-bit quantization still far exceeds the capacity of a single 48GB GPU.66% similarUnverifiedM3原始权重存储下限：BF16约854GB，8-bit约428GB，4-bit约214GB64% similarUnverifiedIQ2_XS can compress a model to close to 2 bits/weight, enabling a 70B model that would otherwise require 48 GB of VRAM to fit into a 24 GB consumer-grade GPU64% similarUnverifiedMemory requirements are at least 37.6 GB for Q2_0, at least 39.2 GB for IQ2_XS, and at least 47 GB for IQ3_XXS, with the vision encoder occupying an additional 0.91 GB.64% similarUnverifiedOn a 16 GB M4 Mac Mini, after loading Ornith 9B GGUF, 6.2 GB is used for model weights, and the maximum context length can reach 260,000 tokens.63% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/951743API
curl https://kongchang.com/api/v1/knowledge/claims/951743MCP
get_claim(id=951743)