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McG-221/Ministral-3-14B-abliterated-mlx-8Bit

McG-221 Mistral 14B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/McG-221%2FMinistral-3-14B-abliterated-mlx-8Bit"
Response includes
  • classification m1
  • files 12
  • hub_downloads_all_time 882
  • author_summary 23 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
882
74 last 30d - cooling
Likes
0
Model age
9mo ago
created 2026-01-01
Downloads over time
Now918→from106↑766%
65377688999106 on Dec 31, 2025918 on Oct 11Dec '25FebAprJunAugOct
Dec 31, 2025 → Oct 11 · 80 snapshots · spans 284 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
apache-2.0
Languages
en
Tags
transformers safetensors mistral3 image-text-to-text abliteration uncensored mistral ministral 14b mlx mlx-my-repo text-generation

Related

Total size
13.4 GB
Files
12
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-01-01 12:46

Files by quantization

Auxiliary files 12 files 13.4 GB
model-00002-of-00003.safetensors 4.98 GB 5ef50cd6 download
model-00001-of-00003.safetensors 4.93 GB db28dc85 download
model-00003-of-00003.safetensors 3.46 GB 889f2cca download
tokenizer.json 16.3 MB 57757562 download
tokenizer_config.json 193 KB a0eeb06d download
model.safetensors.index.json 91.1 KB 5f1f4daa download
special_tokens_map.json 20.9 KB 5ee9972d download
chat_template.jinja 7.57 KB 9731c42d download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.45 KB d8f85f7b download
README.md 1.06 KB 9a16518b download
generation_config.json 131 B add11cbc download

README current version from Hugging Face


license: apache-2.0
base_model: jenerallee78/Ministral-3-14B-abliterated
tags:

  • abliteration
  • uncensored
  • mistral
  • ministral
  • 14b
  • mlx
  • mlx-my-repo
    language:
  • en
    library_name: transformers
    pipeline_tag: text-generation

McG-221/Ministral-3-14B-abliterated-mlx-8Bit

The Model McG-221/Ministral-3-14B-abliterated-mlx-8Bit was converted to MLX format from jenerallee78/Ministral-3-14B-abliterated using mlx-lm version 0.28.3.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("McG-221/Ministral-3-14B-abliterated-mlx-8Bit")

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. 2026-01-01Upload README.md with huggingface_hub247147f1.1 KB
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