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KYUNGYONG/Mistral-Small-24B-Instruct-2501-abliterated-4bit

KYUNGYONG Mistral 24B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/KYUNGYONG%2FMistral-Small-24B-Instruct-2501-abliterated-4bit"
Response includes
  • classification m1
  • files 10
  • benchmarks 11 entries
  • hub_downloads_all_time 610
  • 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 · lifetime
610
51 last 30d - cooling
Likes
0
Model age
19mo ago
created 2025-03-10
Downloads over time
Now632→from4↑15,700%
02324636954 on Mar 5, 2025632 on Oct 12Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 5, 2025 → Oct 12 · 124 snapshots · spans 586 days

Benchmarks

Benchmark Score Source
Entertainment 2.2 UGI
Hazardous 3.5 UGI
Natural Intelligence 23.91 UGI
Political lean -13.8% UGI
Sensitive-Info 28.85 UGI
SocPol 3.2 UGI
UGI 44.24 UGI
Willingness (10) 7.5 UGI
W10-Adherence 8 UGI
W10-Direct 7 UGI
Writing 35.31 UGI

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 fr de es it pt zh ja ru ko
Tags
vllm safetensors mistral text-generation abliterated uncensored transformers mlx mlx-my-repo conversational en fr

Related

Total size
12.3 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-10 06:54

Files by quantization

Auxiliary files 10 files 12.4 GB
model-00002-of-00003.safetensors 4.95 GB c31c860e download
model-00001-of-00003.safetensors 4.92 GB 16555778 download
model-00003-of-00003.safetensors 2.48 GB 1ab96db7 download
tokenizer.json 16.3 MB b76085f9 download
tokenizer_config.json 195 KB be23d84d download
model.safetensors.index.json 77.5 KB 55dfeb16 download
special_tokens_map.json 20.8 KB 642b1b50 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.33 KB e50c2ab3 download
config.json 825 B a62ef40f download

README current version from Hugging Face


language:

  • en
  • fr
  • de
  • es
  • it
  • pt
  • zh
  • ja
  • ru
  • ko
    license: apache-2.0
    library_name: vllm
    inference: false
    base_model: huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated
    extra_gated_description: If you want to learn more about how we process your personal
    data, please read our Privacy Policy.
    tags:
  • abliterated
  • uncensored
  • transformers
  • mlx
  • mlx-my-repo

KYUNGYONG/Mistral-Small-24B-Instruct-2501-abliterated-4bit

The Model KYUNGYONG/Mistral-Small-24B-Instruct-2501-abliterated-4bit was converted to MLX format from huihui-ai/Mistral-Small-24B-Instruct-2501-abliterated using mlx-lm version 0.21.5.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("KYUNGYONG/Mistral-Small-24B-Instruct-2501-abliterated-4bit")

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. 2025-03-10Upload README.md with huggingface_hub83fa42e1.3 KB
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