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

Eric1227/Qwen3-30B-A3B-abliterated-MLX-8bit

Eric1227 Qwen 31B MoE second-order
Your rig guess connected
? Why do I need an app?
Reading your rig…

This is a rough estimate. Install the free app - we'll show exact numbers.

Reading real hardware from your app right now. Numbers below are exact.

Below is the per-quantization compatibility for this model.

curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/Eric1227%2FQwen3-30B-A3B-abliterated-MLX-8bit"
Response includes
  • classification m1
  • files 19
  • hub_downloads_all_time 6,150
  • author_summary 4 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
6K
43 last 30d - cooling
Likes
1
Model age
16mo ago
created 2025-05-27
Downloads over time
Now6.2K→from20↑30,730%
02.3K4.5K6.8K20 on May 21, 20256.2K on Oct 11May '25Aug '25Nov '25FebMayAug
May 21, 2025 → Oct 11 · 112 snapshots · spans 508 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
Tags
mlx safetensors qwen3_moe chat abliterated uncensored text-generation conversational base_model:huihui-ai/Qwen3-30B-A3B-abliterated base_model:quantized:huihui-ai/Qwen3-30B-A3B-abliterated license:apache-2.0 8-bit

Related

Total size
30.2 GB
Files
19
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-05-27 02:18

Files by quantization

Auxiliary files 19 files 30.2 GB
model-00003-of-00007.safetensors 4.93 GB 002ec75f download
model-00004-of-00007.safetensors 4.93 GB 6edb452e download
model-00002-of-00007.safetensors 4.93 GB a43149e2 download
model-00006-of-00007.safetensors 4.93 GB 842711b6 download
model-00005-of-00007.safetensors 4.93 GB 400b34c0 download
model-00001-of-00007.safetensors 4.84 GB 15d6eaf7 download
model-00007-of-00007.safetensors 723 MB 0b90c0c5 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 9.48 KB 7345216a download
load-Qwen3-30B-A3B-abliterated.py 5.88 KB 1d92dde8 download
README.md 1.60 KB 10bd5196 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.16 KB 65df668e download
added_tokens.json 707 B b54f9135 download
special_tokens_map.json 613 B ac23c0aa download
generation_config.json 227 B c7add49d download

README current version from Hugging Face


library_name: mlx
license: apache-2.0
license_link: https://huggingface.co/Qwen/Qwen3-30B-A3B/blob/main/LICENSE
pipeline_tag: text-generation
base_model: huihui-ai/Qwen3-30B-A3B-abliterated
tags:

  • chat

  • abliterated

  • uncensored

  • mlx
    extra_gated_prompt: 'Usage Warnings

    “Risk of Sensitive or Controversial Outputs“: This model’s safety filtering
    has been significantly reduced, potentially generating sensitive, controversial,
    or inappropriate content. Users should exercise caution and rigorously review generated
    outputs.

    “Not Suitable for All Audiences:“ Due to limited content filtering, the model’s
    outputs may be inappropriate for public settings, underage users, or applications
    requiring high security.

    “Legal and Ethical Responsibilities“: Users must ensure their usage complies
    with local laws and ethical standards. Generated content may carry legal or ethical
    risks, and users are solely responsible for any consequences.

    “Research and Experimental Use“: It is recommended to use this model for research,
    testing, or controlled environments, avoiding direct use in production or public-facing
    commercial applications.

    “Monitoring and Review Recommendations“: Users are strongly advised to monitor
    model outputs in real-time and conduct manual reviews when necessary to prevent
    the dissemination of inappropriate content.

    “No Default Safety Guarantees“: Unlike standard models, this model has not undergone
    rigorous safety optimization. huihui.ai bears no responsibility for any consequences
    arising from its use.'


README history 1 version

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

  1. 2025-05-27Upload folder using huggingface_hubc47e3561.6 KB
    Loading...
Catalog is the map. Apps are the tools.

Run models on your own machine, not in the cloud.

Every model page has an "Open in Abliteration" button that hands the model directly to the first-party desktop client, at the quantization your rig can actually run. No API keys, no subscription, no prompt leakage.

Open in Abliteration