Krea-2-Raw · vantagewithai
Krea-2-Raw Q5_K_M
This file is exactly 8,871,195,936 bytes — 8.26 GiB / 8.87 GB at an effective 5.536 bits per weight. The nominal rate for Q5_K_M is lower; mixed-precision tensors make the real figure higher, always.
From the file· 1 file(s), summedFrom the file· 432 tensors parsed
Get it
8.26 GiB · 1 file
llama.cpp
llama-cli -hf vantagewithai/Krea-2-Raw-GGUF:Q5_K_M
Downloads and runs in one step, resolving the quantization by name.
Hugging Face CLI
hf download vantagewithai/Krea-2-Raw-GGUF krea2_raw-Q5_K_M.gguf
Direct download
Straight from the Hugging Face CDN — we host nothing and earn nothing from this. Verify what you received against the exact byte count above; a size mismatch is the usual cause of a file that will not load.
Size
8.26 GiB
8.87 GB
Effective bpw
5.536
from real bytes ÷ params
Tensors
432
Header
0.03 MB
GGUF metadata
What this quantization actually contains
per-tensor types, parsed from the GGUF header
Q5_K
264
F32
167
F16
1
A quantization label names a mixture, not a uniform precision. Attention and output tensors are routinely kept at higher precision than the label implies, which is exactly why the effective bits-per-weight above exceeds the nominal rate.