← back to catalog · registered 2026-08-22 13:56

litmudoc/Qwen3-30B-A3B-abliterated-MLX-Q8

litmudoc Qwen 31B MoE second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/litmudoc%2FQwen3-30B-A3B-abliterated-MLX-Q8"
Response includes
  • classification m1
  • files 18
  • benchmarks 11 entries
  • hub_downloads_all_time 654
  • author_summary 3 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
654
41 last 30d - cooling
Likes
1
Model age
16mo ago
created 2025-05-20
Downloads over time
Now665→from0↑0%
02444887320 on May 14, 2025665 on Oct 12665 on Oct 10May '25Aug '25Nov '25FebMayAug
May 14, 2025 → Oct 12 · 114 snapshots · spans 516 days

Benchmarks

Benchmark Score Source
Entertainment 1.2 UGI
Hazardous 3.5 UGI
Natural Intelligence 15.34 UGI
Political lean -19.7% UGI
Sensitive-Info 15.61 UGI
SocPol 0.5 UGI
UGI 39.57 UGI
Willingness (10) 8.8 UGI
W10-Adherence 9.5 UGI
W10-Direct 8 UGI
Writing 31.05 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

License
apache-2.0
Tags
mlx safetensors qwen3_moe erotic explicit abliterated text-generation conversational base_model:Ewere/Qwen3-30B-A3B-abliterated-erotic base_model:quantized:Ewere/Qwen3-30B-A3B-abliterated-erotic license:apache-2.0 8-bit

Related

Total size
30.2 GB
Files
18
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-05-21 13:42

Files by quantization

Auxiliary files 18 files 30.2 GB
model-00005-of-00007.safetensors 4.93 GB 7f7d669d download
model-00006-of-00007.safetensors 4.93 GB 7bf76dce download
model-00004-of-00007.safetensors 4.93 GB a13e9399 download
model-00003-of-00007.safetensors 4.93 GB 34c5456a download
model-00002-of-00007.safetensors 4.93 GB 1683b634 download
model-00001-of-00007.safetensors 4.84 GB 96236dd9 download
model-00007-of-00007.safetensors 723 MB 876827dd download
tokenizer.json 10.9 MB aeb13307 download
vocab.json 2.65 MB 4783fe10 download
merges.txt 1.59 MB 31349551 download
model.safetensors.index.json 117 KB 5bd0ebb2 download
tokenizer_config.json 9.98 KB 06bac65b download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.16 KB 05ac1afa download
README.md 953 B 9b8b25c8 download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download
generation_config.json 214 B e4f1d319 download

README current version from Hugging Face


license: apache-2.0
base_model: Ewere/Qwen3-30B-A3B-abliterated-erotic
tags:

  • erotic
  • explicit
  • abliterated
  • mlx
    library_name: mlx
    pipeline_tag: text-generation

litmudoc/Qwen3-30B-A3B-abliterated-MLX-Q8

This model litmudoc/Qwen3-30B-A3B-abliterated-MLX-Q8 was
converted to MLX format from Ewere/Qwen3-30B-A3B-abliterated-erotic
using mlx-lm version 0.24.1.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("litmudoc/Qwen3-30B-A3B-abliterated-MLX-Q8")

prompt = "hello"

if tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, 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. 2025-05-20Add files using upload-large-folder tool734316d953 B
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