LTX-2.3 · unsloth

LTX-2.3 Q5_K_M

This file is exactly 16,071,115,808 bytes — 14.97 GiB / 16.07 GB at an effective 13.979 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· 4444 tensors parsed

Get it

14.97 GiB · 1 file
llama.cpp
llama-cli -hf unsloth/LTX-2.3-GGUF:Q5_K_M

Downloads and runs in one step, resolving the quantization by name.

Hugging Face CLI
hf download unsloth/LTX-2.3-GGUF ltx-2.3-22b-dev-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.

Repository →
Size
14.97 GiB
16.07 GB
Effective bpw
13.979
from real bytes ÷ params
Tensors
4444
Header
0.38 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F32
2672
Q5_K
1268
Q6_K
476
BF16
28

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.