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S010/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8-mlx

S010 Qwen 33B second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/S010%2FDeepSeek-R1-Distill-Qwen-32B-abliterated-Q8-mlx"
Response includes
  • classification m1
  • files 14
  • hub_downloads_all_time 2,398
  • author_summary 1 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
2K
154 last 30d - cooling
Likes
4
Model age
20mo ago
created 2025-02-08
Downloads over time
Now2.5K→from34↑7,124%
08991.8K2.7K34 on Feb 5, 20252.5K on Oct 11Feb '25May '25Aug '25Nov '25FebMayAug
Feb 5, 2025 → Oct 11 · 127 snapshots · spans 613 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
32.4 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-08 02:59

Files by quantization

Auxiliary files 14 files 32.4 GB
model-00005-of-00007.safetensors 5.00 GB 037ae615 download
model-00002-of-00007.safetensors 5.00 GB f148be08 download
model-00006-of-00007.safetensors 5.00 GB b3826f08 download
model-00003-of-00007.safetensors 5.00 GB 04310791 download
model-00001-of-00007.safetensors 4.97 GB b3bd346e download
model-00004-of-00007.safetensors 4.97 GB 936b14ea download
model-00007-of-00007.safetensors 2.50 GB 065c424f download
tokenizer.json 10.9 MB e20ddafc download
model.safetensors.index.json 140 KB d5b2be00 download
tokenizer_config.json 6.60 KB b068ffca download
.gitattributes 1.53 KB 52373fe2 download
README.md 1.03 KB c03f89ee download
config.json 868 B 9739a1aa 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

S010/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8-mlx

The Model S010/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8-mlx was converted to MLX format from huihui-ai/DeepSeek-R1-Distill-Qwen-32B-abliterated using mlx-lm version 0.20.5.

Use with mlx

pip install mlx-lm
from mlx_lm import load, generate

model, tokenizer = load("S010/DeepSeek-R1-Distill-Qwen-32B-abliterated-Q8-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. 2025-02-08Upload README.md with huggingface_hub5d15a411 KB
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Discussions 1 thread

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