← back to catalog · registered 2026-08-23 05:02

nuofang/Qwen3.8-9B-abliterated-25-GGUF

nuofang Qwen 9B GGUF second-order
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/nuofang%2FQwen3.8-9B-abliterated-25-GGUF"
Response includes
  • classification m8
  • files 5
  • hub_downloads_all_time 2,434
  • author_summary 22 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
MEDIUM
Inherited from base model
Why this label 3 signals
Method inferred from partial signals - repository name, related files, or tag patterns. Producer identity not confirmed; label may sharpen or shift as we gather more evidence.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
2K
Likes
0
Model age
7w ago
created 2026-08-23
Downloads over time
Now2.9K→from255↑1,033%
1231.1K2.1K3.2K255 on Aug 262.9K on Oct 11AugSepOct
Aug 26 → Oct 11 · 47 snapshots · spans 46 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.

Metadata

Tags
gguf llama.cpp quantized imatrix base_model:MegaPanchamZ/Qwen3.8-9B-abliterated-25 base_model:quantized:MegaPanchamZ/Qwen3.8-9B-abliterated-25 region:us

Related

Total size
4.84 GB
Files
5
Quantizations
2
Registered
2026-08-23 05:02
Last updated on HF
2026-08-23 06:00

Files by quantization

F16 1 file 879 MB
mmproj-Qwen3.8-9B-abliterated-25-f16.gguf 879 MB b77ecf23 download
Auxiliary files 4 files 4.84 GB
Qwen3.8-9B-abliterated-25-IQ4_XS-no-mtp.gguf 4.84 GB da2df504 download
imatrix.gguf 4.91 MB 62886aab download
.gitattributes 1.69 KB dff36eee download
README.md 1.19 KB a6e8222c download

README current version from Hugging Face


base_model: MegaPanchamZ/Qwen3.8-9B-abliterated-25
tags:

  • llama.cpp
  • quantized
  • imatrix

Auto-Quantized GGUF Model

This repository contains automated GGUF quantization files for MegaPanchamZ/Qwen3.8-9B-abliterated-25.

The calibration data for the imatrix is targeted at Chinese novels and role-playing (RP), while preserving logic and common sense.
imatrix 的校准数据以中文的小说、角色扮演为目标,同时保留逻辑和常识。

If the perplexity drops after quantization compared to the original precision, it might not actually be an improvement. Instead, it could be caused by differences in how llama.cpp quantization and perplexity tools handle special tokens. I will update the README generation code in the future.
如果困惑度在量化之后与原精度相比变低,可能并不是真的提升,而是llamacpp量化工具和困惑度计算工具处理特殊token行为不同导致的,我将在未来修改生成readme的代码。

Perplexity Evaluation

(Tested against the provided calibration dataset)

  • Base (F16/BF16): PPL = 13.3646 +/- 0.10505
  • IQ4_XS: PPL = 11.5432 +/- 0.08853

README history 3 versions

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

  1. 2026-08-23Upload README.md with huggingface_hubd5dbdb01.2 KB
    Loading...
  2. 2026-08-23Upload README.md with huggingface_hub56a8be61.2 KB
    Loading...
  3. 2026-08-23Upload README.md with huggingface_hub2d38fbb1 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