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Nitrals-Loras/DeepseekR1-Distill-Uncensored-L3-8B-alt-v3-lora

Nitrals-Loras 8B second-order
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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.

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Downloads · lifetime
26
18 last 30d - active
Likes
0
Model age
20mo ago
created 2025-02-08
Downloads over time
Now37→from0↑0%
01427410 on Feb 5, 202537 on Oct 1137 on Oct 10Feb '25May '25Aug '25Nov '25FebMayAug
Feb 5, 2025 → Oct 11 · 127 snapshots · spans 613 days

Genealogy 0 direct forks

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Metadata

Tags
peft safetensors arxiv:1910.09700 base_model:Nitral-Archive/DeepseekR1-Distill-Uncensored-L3-8B-alt-v2 base_model:adapter:Nitral-Archive/DeepseekR1-Distill-Uncensored-L3-8B-alt-v2 region:us

Related

Total size
640 MB
Files
7
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-02-08 06:04

Files by quantization

Auxiliary files 7 files 657 MB
adapter_model.safetensors 640 MB c5bbe07d download
tokenizer.json 16.4 MB d9191504 download
tokenizer_config.json 50.6 KB 518f09a8 download
README.md 5.01 KB 1c7ab3ac download
.gitattributes 1.53 KB 52373fe2 download
adapter_config.json 822 B 6734e449 download
special_tokens_map.json 483 B afcf8b83 download

README current version from Hugging Face


base_model: Nitral-AI/DeepseekR1-Distill-Uncensored-L3-8B-alt-v2
library_name: peft

Model Card for Model ID

Model Details

Model Description

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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

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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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Evaluation

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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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Technical Specifications [optional]

Model Architecture and Objective

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Hardware

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Software

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Framework versions

  • PEFT 0.14.0

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 folder using huggingface_hubb0fe9255 KB
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