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Hahsksjsgs/deephat-uncensored-lora

Name: Hahsksjsgs/deephat-uncensored-lora
Author: Hahsksjsgs

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Response includes

classification m-uncensored
files 8
hub_downloads_all_time 56
author_summary 2 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

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.

Downloads · lifetime

6 last 30d - stable

Likes

Descendants

in 1 direct fork

Model age

6w ago

created 2026-09-08

Downloads over time

Sep 8 → Oct 24 · 47 snapshots · spans 46 days

Genealogy 1 direct fork

Full fork graph →

This model's place in the market. Above: what it was derived from. Below: the tree of everything derived from it.

DeepHat/DeepHat-V1-7B this lineage

Hahsksjsgs/deephat-uncensored-lora↓ 6 1 fork

Hahsksjsgs/deephat-uncensored-lora-Q8_0-GGUF↓ 28

Metadata

Files by quantization

Auxiliary files 8 files 88.0 MB

adapter_model.bin	38.6 MB	88fca21a	download
adapter_model.safetensors	38.5 MB	647b6ef3	download
tokenizer.json	10.9 MB	d429fe75	download
README.md	5.07 KB	21cefb46	download
chat_template.jinja	3.46 KB	108c998c	download
.gitattributes	1.60 KB	54fe0abe	download
adapter_config.json	619 B	352ab713	download
tokenizer_config.json	377 B	3337e331	download

README current version from Hugging Face

base_model: DeepHat/DeepHat-V1-7B
library_name: peft
pipeline_tag: text-generation
tags:

base_model:adapter:DeepHat/DeepHat-V1-7B
lora
transformers

Model Card for Model ID

Model Details

Model Description

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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).

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Framework versions

PEFT 0.20.0

README history 1 version

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

2026-09-08Upload folder using huggingface_hube7cfed35.1 KB
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Hahsksjsgs/deephat-uncensored-lora

Uncensored (method unknown)

Genealogy 1 direct fork

Metadata

Related

Files by quantization

README current version from Hugging Face

Model Card for Model ID

Model Details

Model Description

Model Sources [optional]

Uses

Direct Use

Downstream Use [optional]

Out-of-Scope Use

Bias, Risks, and Limitations

Recommendations

How to Get Started with the Model

Training Details

Training Data

Training Procedure

Preprocessing [optional]

Training Hyperparameters

Speeds, Sizes, Times [optional]

Evaluation

Testing Data, Factors & Metrics

Testing Data

Factors

Metrics

Results

Summary

Model Examination [optional]

Environmental Impact

Technical Specifications [optional]

Model Architecture and Objective

Compute Infrastructure

Hardware

Software

Citation [optional]

Glossary [optional]

More Information [optional]

Model Card Authors [optional]

Model Card Contact

Framework versions

README history 1 version

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