Krea-2-Raw · vantagewithai

Krea-2-Raw Q4_K_M

This file is exactly 7,486,289,184 bytes — 6.97 GiB / 7.49 GB at an effective 4.672 bits per weight. The nominal rate for Q4_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

6.97 GiB · 1 file
llama.cpp
llama-cli -hf vantagewithai/Krea-2-Raw-GGUF:Q4_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-Q4_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.

Repository →
Size
6.97 GiB
7.49 GB
Effective bpw
4.672
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
Q4_K
201
F32
167
Q5_K
63
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.