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nuofang/qwen3.5-9b-jspace-abliterated-GGUF

nuofang Qwen 9B GGUF second-order 262K ctx
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Response includes
  • classification m8
  • files 5
  • hub_downloads_all_time 454
  • author_summary 22 models
  • readme_text full
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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.

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Downloads · lifetime
454
103 last 30d - stable
Likes
0
Model age
2mo ago
created 2026-08-01
Downloads over time
Now505→from178↑184%
162287412538178 on Jul 29505 on Oct 12505 on Oct 11JulAugSepOct
Jul 29 → Oct 12 · 52 snapshots · spans 75 days

Genealogy 0 direct forks

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Metadata

Quantizations
IQ4
Tags
gguf llama.cpp quantized imatrix base_model:jwest33/qwen3.5-9b-jspace-abliterated base_model:quantized:jwest33/qwen3.5-9b-jspace-abliterated endpoints_compatible region:us conversational

Related

Total size
4.84 GB
Files
5
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-08-01 02:44

Files by quantization

IQ4 1 file 4.84 GB
qwen3.5-9b-jspace-abliterated-IQ4_XS.gguf 4.84 GB a89d3397 download
F16 1 file 879 MB
mmproj-qwen3.5-9b-jspace-abliterated-f16.gguf 879 MB b77ecf23 download
Auxiliary files 3 files 4.91 MB
imatrix.gguf 4.91 MB 8d1e2c1d download
.gitattributes 1.69 KB 0afc9d7f download
README.md 1.19 KB 0f992743 download

README current version from Hugging Face


base_model: jwest33/qwen3.5-9b-jspace-abliterated
tags:

  • llama.cpp
  • quantized
  • imatrix

Auto-Quantized GGUF Model

This repository contains automated GGUF quantization files for jwest33/qwen3.5-9b-jspace-abliterated.

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 = 19.5670 +/- 0.17215
  • IQ4_XS: PPL = 16.0805 +/- 0.13640

README history 3 versions

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

  1. 2026-08-01Upload README.md with huggingface_hub10662d61.2 KB
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  2. 2026-08-01Upload README.md with huggingface_hube36f0301.2 KB
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  3. 2026-08-01Upload README.md with huggingface_huba34db251 KB
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