Qwen3-VL-8B-Instruct-abliterated-v1 · prithivMLmods

Qwen3-VL-8B-Instruct-abliterated-v1 IQ4_XS

This file is exactly 4,593,298,528 bytes — 4.28 GiB / 4.59 GB at an effective 4.191 bits per weight. The nominal rate for IQ4_XS 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

4.28 GiB · 1 file
llama.cpp
llama-cli -hf prithivMLmods/Qwen3-VL-8B-Instruct-abliterated-v1-GGUF:IQ4_XS

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.IQ4_XS.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
4.28 GiB
4.59 GB
Effective bpw
4.191
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
IQ4_XS
213
F32
145
Q5_K
40
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.