LTX-2.3 · unsloth

LTX-2.3 Q4_0

This file is exactly 12,716,211,232 bytes — 11.84 GiB / 12.72 GB at an effective 11.061 bits per weight. The nominal rate for Q4_0 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

11.84 GiB · 1 file
llama.cpp
llama-cli -hf unsloth/LTX-2.3-GGUF:Q4_0

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

Hugging Face CLI
hf download unsloth/LTX-2.3-GGUF distilled-1.1/ltx-2.3-22b-distilled-1.1-Q4_0.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
11.84 GiB
12.72 GB
Effective bpw
11.061
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
Q4_0
1680
Q4_1
64
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.