Qwen3-VL-8B-Instruct-abliterated-v1 · prithivMLmods
Qwen3-VL-8B-Instruct-abliterated-v1 Q4_K_M
This file is exactly 5,027,785,824 bytes — 4.68 GiB / 5.03 GB at an effective 4.588 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· 399 tensors parsed
Get it
4.68 GiB · 1 file
llama.cpp
llama-cli -hf prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1-GGUF:Q4_K_M
Downloads and runs in one step, resolving the quantization by name.
Hugging Face CLI
hf download prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1-GGUF Qwen3-VL-8B-Instruct-abliterated-v1.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.
Size
4.68 GiB
5.03 GB
Effective bpw
4.588
from real bytes ÷ params
Tensors
399
Header
5.96 MB
GGUF metadata
What this quantization actually contains
per-tensor types, parsed from the GGUF header
Q4_K
217
F32
145
Q6_K
37
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.