Qwen3-VL-8B-Instruct-abliterated-v1 · prithivMLmods
Qwen3-VL-8B-Instruct-abliterated-v1 Q3_K_M
This file is exactly 4,124,163,168 bytes — 3.84 GiB / 4.12 GB at an effective 3.763 bits per weight. The nominal rate for Q3_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
3.84 GiB · 1 file
llama.cpp
llama-cli -hf prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1-GGUF:Q3_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.Q3_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
3.84 GiB
4.12 GB
Effective bpw
3.763
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
F32
145
Q3_K
145
Q4_K
104
Q5_K
4
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.