Llama-3-8B-Instruct-32k-v0.1 · MaziyarPanahi

Llama-3-8B-Instruct-32k-v0.1 Q4_K_M

This file is exactly 4,920,734,208 bytes — 4.58 GiB / 4.92 GB at an effective 4.902 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· 291 tensors parsed

Get it

4.58 GiB · 1 file
llama.cpp
llama-cli -hf MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF:Q4_K_M

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

Hugging Face CLI
hf download MaziyarPanahi/Llama-3-8B-Instruct-32k-v0.1-GGUF Llama-3-8B-Instruct-32k-v0.1.Q4_K_M.gguf
Direct download

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Repository →
Size
4.58 GiB
4.92 GB
Effective bpw
4.902
from real bytes ÷ params
Tensors
291
Header
7.84 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
Q4_K
193
F32
65
Q6_K
33

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.