cohere-transcribe-03-2026 · handy-computer

cohere-transcribe-03-2026 Q8_0

This file is exactly 2,410,655,232 bytes — 2.25 GiB / 2.41 GB at an effective 9.335 bits per weight. The nominal rate for Q8_0 is lower; mixed-precision tensors make the real figure higher, always.

From the file· 1 file(s), summedFrom the file· 2103 tensors parsed

Get it

2.25 GiB · 1 file
llama.cpp
llama-cli -hf handy-computer/cohere-transcribe-03-2026-gguf:Q8_0

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

Hugging Face CLI
hf download handy-computer/cohere-transcribe-03-2026-gguf cohere-transcribe-03-2026-Q8_0.gguf
Direct download

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Repository →
Size
2.25 GiB
2.41 GB
Effective bpw
9.335
from real bytes ÷ params
Tensors
2103
Header
0.51 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
F32
1492
Q8_0
515
F16
96

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.