Llama-3.1-70B-Instruct · lmstudio-community

Llama-3.1-70B-Instruct Q4_K_M

This file is exactly 42,520,398,400 bytes — 39.60 GiB / 42.52 GB at an effective 4.821 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· 724 tensors parsed

Get it

39.60 GiB · 1 file
llama.cpp
llama-cli -hf lmstudio-community/Meta-Llama-3.1-70B-Instruct-GGUF:Q4_K_M

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

Hugging Face CLI
hf download lmstudio-community/Meta-Llama-3.1-70B-Instruct-GGUF Meta-Llama-3.1-70B-Instruct-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
39.60 GiB
42.52 GB
Effective bpw
4.821
from real bytes ÷ params
Tensors
724
Header
7.87 MB
GGUF metadata

What this quantization actually contains

per-tensor types, parsed from the GGUF header
Q4_K
441
F32
162
Q6_K
81
Q5_K
40

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.