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RichardErkhov/Orenguteng_-_Llama-3.1-8B-Lexi-Uncensored-awq

RichardErkhov Llama 7.0B
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  • classification m-uncensored
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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
88
6 last 30d - cooling
Likes
0
Model age
18mo ago
created 2025-03-29
Downloads over time
Now91→from4↑2,175%
033661004 on Mar 26, 202591 on Oct 1191 on Oct 4Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 26, 2025 → Oct 11 · 120 snapshots · spans 564 days

Variants by this author 2 formats · 651 downloads combined

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

Metadata

Tags
safetensors llama 4-bit awq region:us

Related

Total size
5.33 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-29 01:23

Files by quantization

Auxiliary files 10 files 5.35 GB
model-00001-of-00002.safetensors 4.36 GB de7a64b1 download
model-00002-of-00002.safetensors 1002 MB 5321ca97 download
tokenizer.json 16.4 MB 6b9e4e7f download
model.safetensors.index.json 59.1 KB 2eaf6e33 download
tokenizer_config.json 49.8 KB e3677ab2 download
README.md 2.52 KB de220cef download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.13 KB df11106c download
special_tokens_map.json 454 B 3c1d0491 download
generation_config.json 184 B 97a94f0f download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

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Llama-3.1-8B-Lexi-Uncensored - AWQ

Original model description:

license: llama3.1

LLM Leaderboard 2 results:

Lexi suggests that simply uncensoring the LLM makes it smarter. The dataset used to tune this model does not contain any "new knowledge" or any contamination whatsoever, yet, we see the evaluation scores shot up when we get rid of biases and refusals.

Lexi not only retains the original instruct, but it beats it.

image/png

NOTE: UGI Leaderboard

The UGI Leaderboard runs the Q4 for its evaluations which results in bad results for this model. As noted, the Q4 has issues retaining the fine tuning for some reasons ends up not as good, which will be fixed for V3.

V2 has been released, I recommend you download the new version:

https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2

image/png

This model is based on Llama-3.1-8b-Instruct, and is governed by META LLAMA 3.1 COMMUNITY LICENSE AGREEMENT

Lexi is uncensored, which makes the model compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones.

You are responsible for any content you create using this model. Please use it responsibly.

Lexi is licensed according to Meta's Llama license. I grant permission for any use, including commercial, that falls within accordance with Meta's Llama-3 license.

IMPORTANT:

Use the same template as the official Llama 3.1 8B instruct.
System tokens must be present during inference, even if you set an empty system message. If you are unsure, just add a short system message as you wish.

Feedback:

If you find any issues or have suggestions for improvements, feel free to leave a review and I will look into it for upcoming improvements and next version.

image/png

README history 1 version

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

  1. 2025-03-29uploaded readmefffbbaf2.5 KB
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