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RichardErkhov/UnfilteredAI_-_UNfilteredAI-1B-gguf

RichardErkhov 1B GGUF
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Response includes
  • classification m8
  • files 24
  • author_summary 257 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
MEDIUM
Why this label 2 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.
  • author=richarderkhov (M8 quantization producer)
  • is_gguf=1
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.

What is a refusal direction? →
Downloads · 30-day
451
↑ 1,851% in 90 days
Likes
1
Model age
2.3y ago
created 2024-06-22
Downloads over time
Now10.6K→from542↑1,851%
03.9K7.7K11.6K542 on Jul 24, 202410.6K on Oct 11Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 11 · 156 snapshots · spans 809 days

Variants by this author 3 formats · 463 downloads combined

The same weights this author released in different packaging. Pick the format that matches your runtime.

Metadata

Quantizations
IQ3 IQ4 Q2_K Q3_K Q4 Q4_K Q5 Q5_K Q6_K Q8_0
Tags
gguf endpoints_compatible region:us conversational

Related

Total size
13.1 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-06-22 23:23

Files by quantization

Q8_0 1 file 1.05 GB
UNfilteredAI-1B.Q8_0.gguf 1.05 GB f811b1ec download
Q6_K 1 file 827 MB
UNfilteredAI-1B.Q6_K.gguf 827 MB d574b903 download
Q5 2 files 1.43 GB
UNfilteredAI-1B.Q5_1.gguf 761 MB b4c0be05 download
UNfilteredAI-1B.Q5_0.gguf 702 MB 35abb03f download
Q5_K 3 files 2.09 GB
UNfilteredAI-1B.Q5_K.gguf 717 MB aba10606 download
UNfilteredAI-1B.Q5_K_M.gguf 717 MB aba10606 download
UNfilteredAI-1B.Q5_K_S.gguf 702 MB 0d179040 download
Q4 2 files 1.20 GB
UNfilteredAI-1B.Q4_1.gguf 643 MB 4cc6aca2 download
UNfilteredAI-1B.Q4_0.gguf 584 MB 708cd718 download
Q4_K 3 files 1.77 GB
UNfilteredAI-1B.Q4_K.gguf 613 MB c308e083 download
UNfilteredAI-1B.Q4_K_M.gguf 613 MB c308e083 download
UNfilteredAI-1B.Q4_K_S.gguf 587 MB 109ba49f download
IQ4 2 files 1.12 GB
UNfilteredAI-1B.IQ4_NL.gguf 588 MB c6eaa0a5 download
UNfilteredAI-1B.IQ4_XS.gguf 559 MB 379ddc51 download
Q3_K 4 files 1.96 GB
UNfilteredAI-1B.Q3_K_L.gguf 542 MB 3ae34e97 download
UNfilteredAI-1B.Q3_K.gguf 503 MB 1d8ad740 download
UNfilteredAI-1B.Q3_K_M.gguf 503 MB 1d8ad740 download
UNfilteredAI-1B.Q3_K_S.gguf 458 MB 90a920ef download
IQ3 3 files 1.34 GB
UNfilteredAI-1B.IQ3_M.gguf 474 MB 4c031aab download
UNfilteredAI-1B.IQ3_S.gguf 460 MB f246285a download
UNfilteredAI-1B.IQ3_XS.gguf 439 MB af32c9a3 download
Q2_K 1 file 397 MB
UNfilteredAI-1B.Q2_K.gguf 397 MB 1879f774 download
Auxiliary files 2 files 9.10 KB
README.md 6.26 KB b482fe53 download
.gitattributes 2.84 KB 79c3f72d download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

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UNfilteredAI-1B - GGUF

Name Quant method Size
UNfilteredAI-1B.Q2_K.gguf Q2_K 0.39GB
UNfilteredAI-1B.IQ3_XS.gguf IQ3_XS 0.43GB
UNfilteredAI-1B.IQ3_S.gguf IQ3_S 0.45GB
UNfilteredAI-1B.Q3_K_S.gguf Q3_K_S 0.45GB
UNfilteredAI-1B.IQ3_M.gguf IQ3_M 0.46GB
UNfilteredAI-1B.Q3_K.gguf Q3_K 0.49GB
UNfilteredAI-1B.Q3_K_M.gguf Q3_K_M 0.49GB
UNfilteredAI-1B.Q3_K_L.gguf Q3_K_L 0.53GB
UNfilteredAI-1B.IQ4_XS.gguf IQ4_XS 0.55GB
UNfilteredAI-1B.Q4_0.gguf Q4_0 0.57GB
UNfilteredAI-1B.IQ4_NL.gguf IQ4_NL 0.57GB
UNfilteredAI-1B.Q4_K_S.gguf Q4_K_S 0.57GB
UNfilteredAI-1B.Q4_K.gguf Q4_K 0.6GB
UNfilteredAI-1B.Q4_K_M.gguf Q4_K_M 0.6GB
UNfilteredAI-1B.Q4_1.gguf Q4_1 0.63GB
UNfilteredAI-1B.Q5_0.gguf Q5_0 0.69GB
UNfilteredAI-1B.Q5_K_S.gguf Q5_K_S 0.69GB
UNfilteredAI-1B.Q5_K.gguf Q5_K 0.7GB
UNfilteredAI-1B.Q5_K_M.gguf Q5_K_M 0.7GB
UNfilteredAI-1B.Q5_1.gguf Q5_1 0.74GB
UNfilteredAI-1B.Q6_K.gguf Q6_K 0.81GB
UNfilteredAI-1B.Q8_0.gguf Q8_0 1.05GB

Original model description:

license: other
language:

  • en
    tags:
  • UnfilteredAI

UNfilteredAI-1B

Model Name: UNfilteredAI-1B
Model Type: Text Generation

About the Model

The UNfilteredAI-1B model is a large-scale text generation model developed by UnfilteredAI. This model is designed to push the boundaries of creativity and innovation in AI-generated content, without the constraints of traditional content moderation or filtering.

Key Features

  • Uncensored and Unrestricted: The UNfilteredAI-1B model is specifically engineered to generate text without any content restrictions or limitations. This allows for the exploration of a wide range of topics and styles, including potentially controversial or sensitive subject matter.
  • Extensive Training: The model has been trained on a vast corpus of diverse textual data, enabling it to generate highly coherent and contextually relevant content across a broad range of domains.
  • Versatile Applications: The UNfilteredAI-1B model can be utilized for a variety of text-based tasks, such as creative writing, conversational AI, and even educational or research-oriented applications.

Intended Use

The UNfilteredAI-1B model is intended for use by experienced and responsible AI researchers, developers, and enthusiasts who are interested in pushing the boundaries of language generation and exploring the potential of uncensored AI technologies.

Limitations and Ethical Considerations

  • Potential for Misuse: The uncensored nature of the UNfilteredAI-1B model means that it could be used to generate harmful, unethical, or illegal content. Users should exercise caution and responsibility when utilizing this model.
  • Bias and Inconsistency: As with many large language models, the UNfilteredAI-1B model may exhibit biases and inconsistencies in its outputs, which could lead to the generation of inaccurate, inappropriate, or even offensive content.
  • Sensitive Content: The model is capable of generating explicit, adult-oriented, or otherwise sensitive content. Users should be aware of the potential risks and ensure that the model is used in an appropriate and ethical manner.

UnfilteredAI acknowledges the significant ethical considerations and potential risks associated with the development and deployment of uncensored AI models. We encourage users to engage with this model responsibly and to be mindful of the potential impact of their actions.

README history 1 version

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

  1. 2024-06-22uploaded readmef5ca4c86.3 KB
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