canary-1b-v2 · handy-computer

canary-1b-v2 Q4_K_M

This file is exactly 735,476,448 bytes — 0.68 GiB / 0.74 GB at an effective 6.004 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· 1476 tensors parsed

Get it

0.68 GiB · 1 file
llama.cpp
llama-cli -hf handy-computer/canary-1b-v2-gguf:Q4_K_M

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

Hugging Face CLI
hf download handy-computer/canary-1b-v2-gguf canary-1b-v2-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
0.68 GiB
0.74 GB
Effective bpw
6.004
from real bytes ÷ params
Tensors
1476
Header
0.47 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F32
1041
Q4_K
322
F16
64
Q8_0
48
Q6_K
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.