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Wwayu/Huihui-EXAONE-4.0-32B-abliterated-mlx-6Bit

Wwayu 32B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/Wwayu%2FHuihui-EXAONE-4.0-32B-abliterated-mlx-6Bit"
Response includes
  • classification m1
  • files 18
  • hub_downloads_all_time 717
  • author_summary 7 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
717
45 last 30d - cooling
Likes
0
Model age
12mo ago
created 2025-10-06
Downloads over time
Now725→from126↑475%
96326555785126 on Oct 8, 2025725 on Oct 11Oct '25Dec '25FebAprJunAugOct
Oct 8, 2025 → Oct 11 · 92 snapshots · spans 368 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

License
other
Languages
en ko es
Tags
transformers safetensors exaone4 text-generation lg-ai exaone exaone-4.0 abliterated uncensored mlx mlx-my-repo conversational

Related

Total size
24.2 GB
Files
18
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-10-06 04:32

Files by quantization

Auxiliary files 18 files 24.2 GB
model-00002-of-00005.safetensors 5.00 GB 125c7196 download
model-00003-of-00005.safetensors 4.99 GB 0a9d5b29 download
model-00001-of-00005.safetensors 4.94 GB a5269ea3 download
model-00004-of-00005.safetensors 4.91 GB d2155596 download
model-00005-of-00005.safetensors 4.38 GB ae7df96e download
tokenizer.json 7.54 MB 3b4d84cb download
vocab.json 1.84 MB 4e7b927b download
merges.txt 1.16 MB ed11ef1d download
model.safetensors.index.json 135 KB 72f1a664 download
tokenizer_config.json 68.7 KB 42090602 download
modeling_exaone4.py 36.3 KB d4a880c1 download
configuration_exaone4.py 13.4 KB 4bc79b48 download
special_tokens_map.json 6.55 KB 4e92e0e2 download
chat_template.jinja 5.36 KB 89d77145 download
config.json 3.05 KB 402ec986 download
.gitattributes 1.48 KB a6344aac download
README.md 1.14 KB df75eff1 download
generation_config.json 146 B 890899f5 download

README current version from Hugging Face


license: other
license_name: exaone
license_link: LICENSE
language:

  • en
  • ko
  • es
    tags:
  • lg-ai
  • exaone
  • exaone-4.0
  • abliterated
  • uncensored
  • mlx
  • mlx-my-repo
    base_model: huihui-ai/Huihui-EXAONE-4.0-32B-abliterated
    pipeline_tag: text-generation
    library_name: transformers

Wwayu/Huihui-EXAONE-4.0-32B-abliterated-mlx-6Bit

The Model Wwayu/Huihui-EXAONE-4.0-32B-abliterated-mlx-6Bit was converted to MLX format from huihui-ai/Huihui-EXAONE-4.0-32B-abliterated using mlx-lm version 0.26.4.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("Wwayu/Huihui-EXAONE-4.0-32B-abliterated-mlx-6Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)

README history 1 version

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

  1. 2025-10-06Upload README.md with huggingface_hub54c20a71.1 KB
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