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

KYUNGYONG/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4-mlx

KYUNGYONG Qwen 33B 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/KYUNGYONG%2FDeepSeek-R1-Distill-Qwen-32B-abliterated-Q4-mlx"
Response includes
  • classification m1
  • files 11
  • hub_downloads_all_time 907
  • author_summary 13 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
907
60 last 30d - cooling
Likes
0
Model age
19mo ago
created 2025-03-05
Downloads over time
Now930→from21↑4,329%
03406811K21 on Mar 5, 2025930 on Oct 11Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 5, 2025 → Oct 11 · 123 snapshots · spans 585 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

Tags
transformers safetensors qwen2 text-generation abliterated uncensored mlx mlx-my-repo conversational base_model:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated base_model:quantized:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated text-generation-inference

Related

Total size
17.2 GB
Files
11
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-05 16:06

Files by quantization

Auxiliary files 11 files 17.2 GB
model-00003-of-00004.safetensors 5.00 GB cd456bf8 download
model-00001-of-00004.safetensors 5.00 GB 881f71d9 download
model-00002-of-00004.safetensors 4.97 GB 8a53a68d download
model-00004-of-00004.safetensors 2.20 GB 535a6be8 download
tokenizer.json 10.9 MB e20ddafc download
model.safetensors.index.json 140 KB 7949fa60 download
tokenizer_config.json 6.60 KB 96810ec7 download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.05 KB 428e78a3 download
config.json 868 B 47b8b13a download
special_tokens_map.json 485 B 1d385d62 download

README current version from Hugging Face


base_model: huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated
library_name: transformers
tags:

  • abliterated
  • uncensored
  • mlx
  • mlx-my-repo

KYUNGYONG/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4-mlx

The Model KYUNGYONG/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4-mlx was converted to MLX format from huihui-ai/DeepSeek-R1-Distill-Qwen-32B-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/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q4-mlx")

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. 2025-03-05Upload README.md with huggingface_hube7d50a51.1 KB
    Loading...

Discussions 1 thread

  1. 2026-05-07PRFix chat_template crash when assistant message omits the `content` keyopen1 💬#1
    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