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

pkoska112358/deepseek-abliterated-finetuned-lora

pkoska112358 Llama second-order
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/pkoska112358%2Fdeepseek-abliterated-finetuned-lora"
Response includes
  • classification m1
  • files 8
  • hub_downloads_all_time 34
  • 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)
How we label → About M1 →
Refusal direction extracted via
Extraction technique

Difference-of-means

FromArditi et al. (2024) ↗
Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
What is a refusal direction? → Read the paper ↗
Downloads · lifetime
34
23 last 30d - active
Likes
0
Model age
6mo ago
created 2026-03-20
Downloads over time
Now45→from12↑275%
1023364812 on Mar 1845 on Oct 11MarAprMayJunJulAugSepOct
Mar 18 → Oct 11 · 69 snapshots · spans 207 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.

huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated↓ 892 this lineage
pkoska112358/deepseek-abliterated-finetuned-lora↓ 23

Metadata

Tags
peft safetensors base_model:adapter:/workspace/.cache/huggingface/hub/models--huihui-ai--DeepSeek-R1-Distill-Llama-70B-abliterated/snapshots/116ff0fa55425b094a38a6bbf6faf2f5cafea335 lora sft transformers trl unsloth text-generation conversational arxiv:1910.09700 base_model:huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated

Related

Same base model
bartowski/huihui-ai_DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 10K mradermacher/DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 3K Thaurock/DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 1K mradermacher/DeepSeek-R1-Distill-Llama-70B-abliterated-i1-GGUF 1K DevQuasar-7/huihui-ai.DeepSeek-R1-Distill-Llama-70B-abliterated-GGUF 166
Total size
790 MB
Files
8
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2026-03-20 20:40
Source huggingface.co/pkoska112358/deepseek-abliterated-finetuned-lora ↗ Base model huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated →

Files by quantization

Auxiliary files 8 files 807 MB
adapter_model.safetensors 790 MB 29788afd download
tokenizer.json 16.4 MB d9191504 download
tokenizer_config.json 49.5 KB 1b33e678 download
README.md 5.25 KB 61a1ac69 download
chat_template.jinja 2.18 KB 02a1c3bc download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 1.28 KB 4f539a51 download
special_tokens_map.json 369 B ef5e3c10 download

README current version from Hugging Face

base_model: huihui-ai/DeepSeek-R1-Distill-Llama-70B-abliterated
library_name: peft
pipeline_tag: text-generation
tags:

  • base_model:adapter:/workspace/.cache/huggingface/hub/models--huihui-ai--DeepSeek-R1-Distill-Llama-70B-abliterated/snapshots/116ff0fa55425b094a38a6bbf6faf2f5cafea335
  • lora
  • sft
  • transformers
  • trl
  • unsloth

Model Card for Model ID

Model Details

Model Description

  • Developed by: [More Information Needed]
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  • Model type: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]
  • Finetuned from model [optional]: [More Information Needed]

Model Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

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Downstream Use [optional]

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Out-of-Scope Use

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Bias, Risks, and Limitations

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Recommendations

Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.

How to Get Started with the Model

Use the code below to get started with the model.

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Training Details

Training Data

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Training Procedure

Preprocessing [optional]

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Training Hyperparameters

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Speeds, Sizes, Times [optional]

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Evaluation

Testing Data, Factors & Metrics

Testing Data

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Factors

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Metrics

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Results

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Summary

Model Examination [optional]

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Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

  • Hardware Type: [More Information Needed]
  • Hours used: [More Information Needed]
  • Cloud Provider: [More Information Needed]
  • Compute Region: [More Information Needed]
  • Carbon Emitted: [More Information Needed]

Technical Specifications [optional]

Model Architecture and Objective

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Compute Infrastructure

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Hardware

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Software

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Citation [optional]

BibTeX:

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APA:

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Glossary [optional]

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Model Card Authors [optional]

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Model Card Contact

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Framework versions

  • PEFT 0.18.1

README history 1 version

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

  1. 2026-03-20Upload folder using huggingface_hub8f8f0205.2 KB
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