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RichardErkhov/mlabonne_-_Meta-Llama-3.1-8B-Instruct-abliterated-gguf

RichardErkhov Llama 8B GGUF 131K ctx
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     "https://abliteration.org/api/v1/models/RichardErkhov%2Fmlabonne_-_Meta-Llama-3.1-8B-Instruct-abliterated-gguf"
Response includes
  • classification m8
  • files 24
  • hub_downloads_all_time 5,629
  • author_summary 257 models
  • readme_text full
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GET/models?author=RichardErkhov
All 257 models by RichardErkhov
 GET/models?family=llama&method=m8
Sibling llama models · same method
 GET/methods/m8
What "m8" means · taxonomy
10 credits · hourly refresh · ~4 KB payload Get an API key →
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
How we label → About M8 →
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 · lifetime
6K
824 last 30d - stable
Likes
0
Model age
2.2y ago
created 2024-08-04
Downloads over time
Now5.8K→from2K↑195%
02.1K4.2K6.3K2K on Aug 14, 20245.8K on Oct 11Aug '24Dec '24Apr '25Aug '25Dec '25AprAug
Aug 14, 2024 → Oct 11 · 152 snapshots · spans 788 days

Variants by this author 2 formats · 829 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

Other by RichardErkhov
byroneverson_-_gemma-2-27b-it-abliterated-gguf 2K huihui-ai_-_Llama-3.2-1B-Instruct-abliterated-gguf 2K failspy_-_Codestral-22B-v0.1-abliterated-v3-gguf 2K Rupesh2_-_Llama-3.1-8B-Uncensored-gguf 2K huihui-ai_-_Qwen2.5-32B-Instruct-abliterated-gguf 2K
Total size
90.5 GB
Files
24
Quantizations
11
Registered
2026-08-22 13:56
Last updated on HF
2024-08-05 02:11
Source huggingface.co/RichardErkhov/mlabonne_-_Meta-Llama-3.1-8B-Instruct-abliterated-gguf ↗

Files by quantization

Q8_0 1 file 6.40 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf 6.40 GB 9ebbd4a9 download
Q6_K 1 file 6.14 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf 6.14 GB 6d446a41 download
Q5 2 files 10.9 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_1.gguf 5.65 GB af509f41 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_0.gguf 5.21 GB 8117fe70 download
Q4 2 files 9.12 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_1.gguf 4.78 GB 9b3361c6 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_0.gguf 4.34 GB 27c01bf6 download
Q4_K 3 files 13.5 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf 4.58 GB 13829621 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_M.gguf 4.58 GB 13829621 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf 4.37 GB 3cfdcf18 download
Q5_K 3 files 7.76 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf 4.54 GB e46c4564 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf 2.54 GB 7edbe85a download
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_M.gguf 697 MB 636ded9e download
IQ4 2 files 8.56 GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf 4.38 GB 923a913c download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf 4.18 GB 60a85542 download
Q3_K 4 files 14.9 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf 4.03 GB 80228ea1 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf 3.74 GB 35716073 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_M.gguf 3.74 GB 35716073 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf 3.41 GB 03d8f348 download
IQ3 3 files 10.2 GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf 3.52 GB e69a4e18 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf 3.43 GB 3ce25de7 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf 3.28 GB bd50a6e0 download
Q2_K 1 file 2.96 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf 2.96 GB a368ee7e download
Auxiliary files 2 files 9.74 KB
README.md 6.40 KB 8b5d29be download
.gitattributes 3.33 KB df9a3529 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

Github

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Meta-Llama-3.1-8B-Instruct-abliterated - GGUF

Name Quant method Size
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf Q2_K 2.96GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf IQ3_XS 3.28GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf IQ3_S 3.43GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf Q3_K_S 3.41GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf IQ3_M 3.52GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf Q3_K 3.74GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_M.gguf Q3_K_M 3.74GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf Q3_K_L 4.03GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf IQ4_XS 4.18GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_0.gguf Q4_0 4.34GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf IQ4_NL 4.38GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf Q4_K_S 4.37GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf Q4_K 4.58GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_M.gguf Q4_K_M 4.58GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_1.gguf Q4_1 4.78GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_0.gguf Q5_0 5.21GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf Q5_K_S 4.54GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf Q5_K 2.54GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_M.gguf Q5_K_M 0.68GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_1.gguf Q5_1 5.65GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf Q6_K 6.14GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf Q8_0 6.4GB

Original model description:

library_name: transformers
license: llama3.1
base_model: meta-llama/Meta-Llama-3.1-8B-Instruct
tags:

  • abliterated
  • uncensored

🦙 Meta-Llama-3.1-8B-Instruct-abliterated

image/png

🦙 Llama 3.1 70B Instruct lorablated

This is an uncensored version of Llama 3.1 8B Instruct created with abliteration (see this article to know more about it).

Special thanks to @FailSpy for the original code and technique. Please follow him if you're interested in abliterated models.

⚡️ Quantization

Thanks to ZeroWw and Apel-sin for the quants.

README history 1 version

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

  1. 2024-08-05uploaded readme23670756.4 KB
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