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mlx-community/GLM-4.5V-abliterated-4bit

mlx-community Glm MoE multimodal
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/mlx-community%2FGLM-4.5V-abliterated-4bit"
Response includes
  • classification m1
  • files 23
  • benchmarks 5 entries
  • hub_downloads_all_time 1,159
  • author_summary 207 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 · lifetime
1K
68 last 30d - cooling
Likes
1
Model age
13mo ago
created 2025-08-24
Downloads over time
Now1.2K→from9↑13,067%
04348681.3K9 on Aug 27, 20251.2K on Oct 11Aug '25Oct '25Dec '25FebAprJunAugOct
Aug 27, 2025 → Oct 11 · 98 snapshots · spans 410 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Arena-Battles 1304 LM-Arena
LM Arena Elo 1328.0078804015486 LM-Arena
Arena-Elo-Lower 1311.96193218924 LM-Arena
Arena-Elo-Upper 1344.0538286138574 LM-Arena
Arena-Rank 49 LM-Arena

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

License
mit
Languages
zh en
Tags
transformers safetensors glm4v_moe image-text-to-text abliterated uncensored mlx conversational zh en base_model:zai-org/GLM-4.5V base_model:quantized:zai-org/GLM-4.5V

Related

Total size
57.6 GB
Files
23
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-09-05 05:26

Files by quantization

Auxiliary files 23 files 57.6 GB
model-00001-of-00012.safetensors 4.95 GB 1a0905b0 download
model-00007-of-00012.safetensors 4.91 GB 661cbd61 download
model-00006-of-00012.safetensors 4.91 GB eb438b87 download
model-00009-of-00012.safetensors 4.91 GB 0976a56f download
model-00004-of-00012.safetensors 4.91 GB 5e28861c download
model-00005-of-00012.safetensors 4.91 GB df8d6941 download
model-00011-of-00012.safetensors 4.91 GB c773a875 download
model-00010-of-00012.safetensors 4.91 GB a4e52855 download
model-00008-of-00012.safetensors 4.91 GB 9124dc47 download
model-00003-of-00012.safetensors 4.91 GB b7abb6a9 download
model-00002-of-00012.safetensors 4.91 GB 401eedc7 download
model-00012-of-00012.safetensors 3.56 GB 87eeb103 download
tokenizer.json 19.0 MB bda8e214 download
model.safetensors.index.json 1.83 MB e3b7372b download
tokenizer_config.json 7.18 KB 31ceab70 download
chat_template.jinja 3.77 KB 1f6c375e download
config.json 2.23 KB 28a0383b download
.gitattributes 1.53 KB 52373fe2 download
video_preprocessor_config.json 862 B 94dec859 download
special_tokens_map.json 802 B 9028cf84 download
README.md 676 B 358eb5ba download
preprocessor_config.json 521 B 5837b805 download
generation_config.json 234 B 6406f555 download

README current version from Hugging Face


language:

  • zh
  • en
    library_name: transformers
    license: mit
    pipeline_tag: image-text-to-text
    base_model:
  • zai-org/GLM-4.5V
    tags:
  • abliterated
  • uncensored
  • mlx

mlx-community/GLM-4.5V-abliterated-4bit

This model was converted to MLX format from huihui-ai/Huihui-GLM-4.5V-abliterated using mlx-vlm.
Refer to the original model card for more details on the model.

Use with mlx

pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/GLM-4.5V-abliterated-4bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>

README history 2 versions

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

  1. 2025-09-05Update README.md (#2)c00f7bb676 B
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  2. 2025-08-24initial commiteca0ad821 B
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Discussions 2 threads

  1. 2025-09-04PRUpdate README.mdmerged2 💬#2
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  2. 2025-08-25Great Model, but Quantization Issues Impact Performanceclosed2 💬#1
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