← back to catalog · registered 2026-10-17 11:59

xxris/DeepSeek-R1-Distill-Qwen-32B-abliterated

xxris Qwen 32B 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/xxris%2FDeepSeek-R1-Distill-Qwen-32B-abliterated"
Response includes
  • classification m-uncensored
  • files 20
  • author_summary 1 models
  • readme_text full
10 credits · hourly refresh · ~4 KB payload Get an API key →
Abliteration classifier · v1.0.0
M-U
Primary method

Uncensored (method unknown)

No other method signals detected in this model.
Confidence
LOW
Why this label 3 signals
Weak or ambiguous signals. Best guess based on catalog patterns; treat as tentative and check the evidence below.
  • 'uncensored' in name/tags but no 'abliterated' marker
  • method not identifiable from author declaration alone
  • may be DPO fine-tune, prompt engineering, or unknown technique
Refusal direction extraction

No specific extraction method could be identified for this model. The producer either did not document it or used a proprietary pipeline.

What is a refusal direction? →
Downloads · 30-day
0
Likes
0
Model age
today
created 2026-10-17

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 conversational base_model:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated base_model:finetune:huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated text-generation-inference endpoints_compatible

Related

Total size
61.0 GB
Files
20
Quantizations
1
Registered
2026-10-17 11:59
Last updated on HF
2026-10-17 11:27

Files by quantization

Auxiliary files 20 files 61.0 GB
model-00011-of-00013.safetensors 4.92 GB da0ec8dd download
model-00005-of-00013.safetensors 4.92 GB de5cd869 download
model-00008-of-00013.safetensors 4.92 GB 5d3c4edf download
model-00002-of-00013.safetensors 4.92 GB fb117d0e download
model-00001-of-00013.safetensors 4.82 GB aca25cfb download
model-00010-of-00013.safetensors 4.80 GB 9f8487eb download
model-00007-of-00013.safetensors 4.80 GB 43d2b46b download
model-00004-of-00013.safetensors 4.80 GB 57e2e045 download
model-00012-of-00013.safetensors 4.80 GB 562f5abb download
model-00006-of-00013.safetensors 4.80 GB b24acb14 download
model-00009-of-00013.safetensors 4.80 GB fc5392a7 download
model-00003-of-00013.safetensors 4.80 GB 280240a7 download
model-00013-of-00013.safetensors 2.89 GB 2b8d3fef download
tokenizer.json 10.9 MB e20ddafc download
model.safetensors.index.json 64.8 KB 6b47c65c download
tokenizer_config.json 6.60 KB b068ffca download
.gitattributes 1.53 KB 52373fe2 download
README.md 992 B ca616014 download
config.json 715 B e95cadc6 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-community/DeepSeek-R1-Distill-Qwen-32B-abliterated

The Model mlx-community/DeepSeek-R1-Distill-Qwen-32B-abliterated was
converted to MLX format from huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated
using mlx-lm version 0.21.1.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/DeepSeek-R1-Distill-Qwen-32B-abliterated")

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)
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