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blackageek/qwen-coder-uncensored-lora

blackageek Qwen
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Response includes
  • classification m-uncensored
  • files 7
  • hub_downloads_all_time 28
  • author_summary 1 models
  • readme_text full
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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
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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.

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Downloads · lifetime
28
6 last 30d - stable
Likes
0
Model age
6w ago
created 2026-09-22
Downloads over time
Now37→from0↑0%
01427410 on Sep 2237 on Nov 737 on Nov 1SepOctNov
Sep 22 → Nov 7 · 47 snapshots · spans 46 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.

OBLITERATUS/Qwen2.5-Coder-7B-Instruct-OBLITERATED this lineage
blackageek/qwen-coder-uncensored-lora↓ 6

Metadata

Tags
peft safetensors base_model:adapter:OBLITERATUS/Qwen2.5-Coder-7B-Instruct-OBLITERATED lora sft transformers trl unsloth text-generation conversational arxiv:1910.09700 base_model:OBLITERATUS/Qwen2.5-Coder-7B-Instruct-OBLITERATED
Total size
308 MB
Files
7
Quantizations
1
Registered
2026-09-22 22:57
Last updated on HF
2026-09-22 22:47
Source huggingface.co/blackageek/qwen-coder-uncensored-lora ↗ Base model OBLITERATUS/Qwen2.5-Coder-7B-Instruct-OBLITERATED ↗

Files by quantization

Auxiliary files 7 files 319 MB
adapter_model.safetensors 308 MB 6ca8b3bc download
tokenizer.json 10.9 MB 6b4360dd download
README.md 5.15 KB 4260d70d download
tokenizer_config.json 4.75 KB 3749dc04 download
chat_template.jinja 2.45 KB bdf7919a download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 1.23 KB f7f41326 download

README current version from Hugging Face

base_model: OBLITERATUS/Qwen2.5-Coder-7B-Instruct-OBLITERATED
library_name: peft
pipeline_tag: text-generation
tags:

  • base_model:adapter:OBLITERATUS/Qwen2.5-Coder-7B-Instruct-OBLITERATED
  • lora
  • sft
  • transformers
  • trl
  • unsloth

Model Card for Model ID

Model Details

Model Description

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  • Language(s) (NLP): [More Information Needed]
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Model Sources [optional]

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Uses

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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]
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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]

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Framework versions

  • PEFT 0.19.1

README history 1 version

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

  1. 2026-09-22Upload folder using huggingface_hub0e1d0fb5.2 KB
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