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algorythmtechnologies/Warren-8B-Uncensored-2000

algorythmtechnologies Deepseek 8B second-order
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Response includes
  • classification m-uncensored
  • files 14
  • author_summary 3 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
How we label → About M-U →
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 · 30-day
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Model age
9mo ago
created 2025-12-20
Downloads over time
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00110 on Dec 24, 20250 on Oct 11Dec '25FebAprJunAugOct
Dec 24, 2025 → Oct 11 · 81 snapshots · spans 291 days

Genealogy 0 direct forks

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

huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated↓ 35 this lineage
algorythmtechnologies/Warren-8B-Uncensored-2000

Metadata

Tags
transformers safetensors tax uncensored arxiv:1910.09700 base_model:huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated base_model:finetune:huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated endpoints_compatible region:us

Related

Other by algorythmtechnologies
Warren-8B-Uncensored 15 Warren-Finetuned-8B-Uncensored 11
Same base model
cybe42/DeepSeek-R1-0528-Qwen3-8B-abliterated-Q4_K_M-GGUF 3K Sowkwndms/DeepSeek-R1-0528-Qwen3-8B-abliterated-Q5_K_M-GGUF 507 noteventhrice/DeepSeek-R1-0528-Qwen3-8B-abliterated-Q4_K_M-GGUF 181 wy8edhuh/DeepSeek-R1-0528-Qwen3-8B-abliterated-IQ4_NL-GGUF 160 wy8edhuh/DeepSeek-R1-0528-Qwen3-8B-abliterated-IQ4_XS-GGUF 143
Total size
15.4 GB
Files
14
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-12-21 05:15
Source huggingface.co/algorythmtechnologies/Warren-8B-Uncensored-2000 ↗ Base model huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated →

Files by quantization

Auxiliary files 14 files 15.4 GB
model-00003-of-00004.safetensors 4.64 GB fa38f2d6 download
model-00002-of-00004.safetensors 4.58 GB bfd6e14c download
model-00001-of-00004.safetensors 4.57 GB a5eea00d download
model-00004-of-00004.safetensors 1.47 GB e0af667c download
adapter_model.safetensors 167 MB c5c7e9c9 download
training_args.bin 5.64 KB 38864ac5 download
tokenizer.json 10.9 MB bf896220 download
tokenizer_config.json 5.46 KB c4657dc1 download
README.md 5.05 KB 90cebac5 download
handler.py 4.27 KB 4159c73c download
chat_template.jinja 3.05 KB 7641578b download
.gitattributes 1.79 KB ccc56b41 download
adapter_config.json 1.05 KB 2ae242b6 download
special_tokens_map.json 485 B 1d385d62 download

README current version from Hugging Face

library_name: transformers
base_model: huihui-ai/DeepSeek-R1-0528-Qwen3-8B-abliterated
tags:

  • tax
  • uncensored
  • transformers

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

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How to Get Started with the Model

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Training Details

Training Data

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Training Procedure

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Evaluation

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Results

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Summary

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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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Model Architecture and Objective

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Framework versions

  • PEFT 0.18.0

README history 2 versions

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

  1. 2025-12-20Upload folder using huggingface_hub90f896b5 KB
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  2. 2025-12-20initial commitd34d45328 B
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