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

Floppydog/DeepSeek-R1-Distill-Qwen-14B-abliterated

Floppydog Qwen 15B
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/Floppydog%2FDeepSeek-R1-Distill-Qwen-14B-abliterated"
Response includes
  • classification m1
  • files 15
  • benchmarks 16 entries
  • hub_downloads_all_time 42
  • author_summary 1 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
42
20 last 30d - stable
Likes
0
Model age
3mo ago
created 2026-06-28
Downloads over time
Now55→from18↑206%
1630455918 on Jul 155 on Oct 11JulAugSepOct
Jul 1 → Oct 11 · 54 snapshots · spans 102 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
BBH average 0.5542871967829809 OpenLLM-v2
IFEval instruct 0.5047961630695443 OpenLLM-v2
IFEval-Prompt 0.37153419593345655 OpenLLM-v2
MATH lvl 5 0.4086102719033233 OpenLLM-v2
MMLU-Pro 0.4666722074468085 OpenLLM-v2
Entertainment 1.5 UGI
Hazardous 2.4 UGI
Natural Intelligence 16.39 UGI
Political lean -27.4% UGI
Sensitive-Info 15.62 UGI
SocPol 1 UGI
UGI 21.25 UGI
Willingness (10) 3.2 UGI
W10-Adherence 0.5 UGI
W10-Direct 6 UGI
Writing 26.29 UGI

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 conversational base_model:deepseek-ai/DeepSeek-R1-Distill-Qwen-14B base_model:finetune:deepseek-ai/DeepSeek-R1-Distill-Qwen-14B text-generation-inference endpoints_compatible region:us

Related

Total size
27.5 GB
Files
15
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-06-28 22:53

Files by quantization

Auxiliary files 15 files 27.5 GB
model-00001-of-00006.safetensors 4.64 GB 9e5980e5 download
model-00003-of-00006.safetensors 4.61 GB 7a62b8ac download
model-00004-of-00006.safetensors 4.61 GB efd7b782 download
model-00005-of-00006.safetensors 4.61 GB dce933dd download
model-00002-of-00006.safetensors 4.61 GB cdb2c2a3 download
model-00006-of-00006.safetensors 4.41 GB 11b46f3c download
tokenizer.json 10.9 MB e20ddafc download
model.safetensors.index.json 46.9 KB 915d5cc3 download
tokenizer_config.json 6.79 KB f8c31060 download
.gitattributes 1.53 KB 52373fe2 download
LICENSE 1.04 KB d42fae90 download
README.md 818 B 80811fbd download
config.json 691 B b2dd8e73 download
special_tokens_map.json 508 B 6caea2ce download
generation_config.json 190 B 829e028b download

README current version from Hugging Face


base_model:

  • deepseek-ai/DeepSeek-R1-Distill-Qwen-14B
    library_name: transformers
    tags:
  • abliterated
  • uncensored

huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated

This is an uncensored version of deepseek-ai/DeepSeek-R1-Distill-Qwen-14B created with abliteration (see remove-refusals-with-transformers to know more about it).
This is a crude, proof-of-concept implementation to remove refusals from an LLM model without using TransformerLens.

Important Note There's a new version available, please try using the new version huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated-v2.

README history 1 version

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

  1. 2026-06-28Duplicate from huihui-ai/DeepSeek-R1-Distill-Qwen-14B-abliterated856429d818 B
    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