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SOMEHOTMEAL/Qwen3.5-9B-Janus-Abliterated-V2-Base_And_GGUF

SOMEHOTMEAL 9B second-order
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Response includes
  • classification m1
  • files 21
  • benchmarks 11 entries
  • author_summary 13 models
  • readme_text full
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · 30-day
325
Likes
1
Model age
6w ago
created 2026-09-13
Downloads over time
Now0→from0↑0%
00110 on Sep 130 on Sep 14Sep
Sep 13 → Sep 14 · 2 snapshots · spans 1 day

Benchmarks

Benchmark Score Source
Entertainment 0.9 UGI
Hazardous 1.8 UGI
Natural Intelligence 14.88 UGI
Political lean -6.0% UGI
Sensitive-Info 11.44 UGI
SocPol 0.9 UGI
UGI 37.63 UGI
Willingness (10) 9 UGI
W10-Adherence 9 UGI
W10-Direct 9 UGI
Writing 29.12 UGI

Genealogy 0 direct forks

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

Metadata

Quantizations
Q4_K
Tags
transformers safetensors gguf qwen3_5 image-text-to-text mergekit merge conversational base_model:Qwen/Qwen3.5-9B base_model:merge:Qwen/Qwen3.5-9B base_model:huihui-ai/Huihui-Qwen3.5-9B-abliterated base_model:merge:huihui-ai/Huihui-Qwen3.5-9B-abliterated

Related

Total size
75.3 GB
Files
21
Quantizations
2
Registered
2026-09-13 16:56
Last updated on HF
2026-09-13 16:56

Files by quantization

Q4_K 1 file 5.24 GB
Qwen3.5-9B-Janus-Abliterated-V2-Q4_K_M-GGUF.gguf 5.24 GB 8b57b07c download
Auxiliary files 20 files 70.1 GB
Qwen3.5-9B-Janus-Abliterated-V2-f16-GGUF.gguf 16.7 GB 4fdc4cbb download
Qwen3.5-9B-Janus-Abliterated-V2-Q8_0-GGUF.gguf 8.87 GB c200948a download
Qwen3.5-9B-Janus-Abliterated-V2-Q6_K-GGUF.gguf 6.85 GB e3516f27 download
model-00002-of-00004.safetensors 4.65 GB 9999353b download
model-2.safetensors 4.65 GB 9999353b download
model-00003-of-00004.safetensors 4.61 GB b06e8326 download
model-3.safetensors 4.61 GB b06e8326 download
model-00001-of-00004.safetensors 4.60 GB b54e3818 download
model-1.safetensors 4.60 GB b54e3818 download
Qwen3.5-9B-Janus-Abliterated-V2-Q2_K-GGUF.gguf 3.56 GB 2105fad5 download
model-00004-of-00004.safetensors 3.21 GB 6027d906 download
model-4.safetensors 3.21 GB 6027d906 download
tokenizer.json 19.1 MB 87a7830d download
model.safetensors.index.json 42.6 KB bb05bbb1 download
chat_template.jinja 7.72 KB 945efe1d download
config.json 2.89 KB 7a7e4bc1 download
.gitattributes 1.94 KB dedc6a00 download
README.md 1.42 KB bbf1ed99 download
tokenizer_config.json 1.10 KB 46fb74b4 download
mergekit_config.yml 687 B 64a6dd76 download

README current version from Hugging Face


base_model:

  • huihui-ai/Huihui-Qwen3.5-9B-abliterated
  • Qwen/Qwen3.5-9B
    library_name: transformers
    tags:
  • mergekit
  • merge

Qwen3.5-9B-Janus-Abliterated-V2

This is a merge of pre-trained language models created using mergekit.

Merge Details

Merge Method

This model was merged using the SLERP merge method.

Models Merged

The following models were included in the merge:

Configuration

The following YAML configuration was used to produce this model:

merge_method: slerp
base_model: &model_a Qwen/Qwen3.5-9B   # Notice the & anchor trick!

slices:
  - sources:
      - model: *model_a                          # Automatically matches base_model
        layer_range: [0, 32]                    # Safely covers all layers (8B up to 70B)
      - model: huihui-ai/Huihui-Qwen3.5-9B-abliterated
        layer_range: [0, 32]
        # Only uncomment the 2 lines below if pulling from a Janus/VL model:
        # rename:
        #   - ["text_model.model.", "model."]
        #   - ["text_model.", ""]

parameters:
  t: 0.60                                        # 60% Model B, 40% Model A
dtype: bfloat16
tokenizer_source: base

README history 4 versions

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

  1. 2026-09-15Update README.mda9d256a3.6 KB
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  2. 2026-09-15Update README.md41544123.6 KB
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  3. 2026-09-14Update README.md29a784c3.6 KB
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  4. 2026-09-13Upload folder using huggingface_hub181a5161.4 KB
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