← back to catalog · registered 2026-08-22 13:56

noctrex/Huihui-Qwen3-VL-8B-Instruct-abliterated-i1-GGUF

noctrex Qwen 8B GGUF multimodal second-order 262K ctx
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/noctrex%2FHuihui-Qwen3-VL-8B-Instruct-abliterated-i1-GGUF"
Response includes
  • classification m8
  • files 17
  • hub_downloads_all_time 7,937
  • author_summary 44 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=noctrex (M8 quantization producer)
  • is_gguf=1
  • base_model='huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated' looks abliterated -> assume M1
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · lifetime
8K
785 last 30d - cooling
Likes
2
Model age
11mo ago
created 2025-11-09
Downloads over time
Now8.4K→from811↑933%
4333.3K6.2K9.1K811 on Nov 12, 20258.4K on Oct 11Nov '25JanMarMayJulSep
Nov 12, 2025 → Oct 11 · 87 snapshots · spans 333 days

Genealogy 0 direct forks

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

Variants by this author 2 formats · 10K downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Quantizations
IQ3 IQ4 Q4_K Q5_K Q6_K
Tags
gguf image-text-to-text base_model:huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated base_model:quantized:huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated endpoints_compatible region:us imatrix conversational

Related

Total size
48.6 GB
Files
17
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-11-09 10:19

Files by quantization

Q6_K 1 file 6.26 GB
Huihui-Qwen3-VL-8B-Instruct-abliterated-Q6_K.gguf 6.26 GB 14c70b88 download
Q5_K 2 files 10.8 GB
Huihui-Qwen3-VL-8B-Instruct-abliterated-Q5_K_M.gguf 5.45 GB 360bbb5e download
Huihui-Qwen3-VL-8B-Instruct-abliterated-Q5_K_S.gguf 5.33 GB b9e5854f download
Q4_K 2 files 9.15 GB
Huihui-Qwen3-VL-8B-Instruct-abliterated-Q4_K_M.gguf 4.68 GB d4a66fde download
Huihui-Qwen3-VL-8B-Instruct-abliterated-Q4_K_S.gguf 4.47 GB 3e1ce670 download
IQ4 2 files 8.71 GB
Huihui-Qwen3-VL-8B-Instruct-abliterated-IQ4_NL.gguf 4.46 GB 6435d0e3 download
Huihui-Qwen3-VL-8B-Instruct-abliterated-IQ4_XS.gguf 4.25 GB b5ed965c download
IQ3 4 files 13.7 GB
Huihui-Qwen3-VL-8B-Instruct-abliterated-IQ3_M.gguf 3.63 GB e74a56ae download
Huihui-Qwen3-VL-8B-Instruct-abliterated-IQ3_S.gguf 3.53 GB 7a6e52b2 download
Huihui-Qwen3-VL-8B-Instruct-abliterated-IQ3_XS.gguf 3.38 GB d7c5aad5 download
Huihui-Qwen3-VL-8B-Instruct-abliterated-IQ3_XXS.gguf 3.14 GB 9d9b0bfe download
F32 1 file 2.15 GB
mmproj-F32.gguf 2.15 GB 5f2fcd29 download
BF16 1 file 1.08 GB
mmproj-BF16.gguf 1.08 GB 2fd1e7a0 download
F16 1 file 1.08 GB
mmproj-F16.gguf 1.08 GB 88b7d619 download
Auxiliary files 3 files 5.10 MB
imatrix.gguf 5.10 MB dc6fa4df download
.gitattributes 2.63 KB fe5287f9 download
README.md 1.05 KB cf55136a download

README current version from Hugging Face


pipeline_tag: image-text-to-text
base_model:

  • huihui-ai/Huihui-Qwen3-VL-8B-Instruct-abliterated

These are quantizations of the model Huihui-Qwen3-VL-8B-Instruct-abliterated.

These quantizations were created using an imatrix merged from combined_all_large and harmful.txt to leverage the abliterated nature of the model.

For higher precision versions (which are not in an need for an imatrix), please refer to the main repository:
noctrex/Huihui-Qwen3-VL-8B-Instruct-abliterated-GGUF

Usage Notes:

  • Download the latest llama.cpp to use these quantizations.
  • Try to use the best quality you can run.
  • For the mmproj file, the F32 version is recommended for best results (F32 > BF16 > F16).

README history 1 version

The author's README evolved over time. Click a version to see its content at that point.

  1. 2025-11-09Add files using upload-large-folder tool771f5cc1 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration