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legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF

legraphista Llama 8B GGUF second-order 131K ctx
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Response includes
  • classification m8
  • files 30
  • benchmarks 5 entries
  • hub_downloads_all_time 22,007
  • author_summary 4 models
  • readme_text full
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

Applied on top of direct removal inherited from the base model.
Confidence
MEDIUM
Inherited from base model
Why this label 3 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.
  • 'abliterated' in name/tags
  • is_gguf=1
  • assume M1 (base ablation) + M8 (GGUF quant) - default when producer unknown
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
22K
2K last 30d - cooling
Likes
1
Model age
2.2y ago
created 2024-07-28
Downloads over time
Now23K→from127↑18,024%
08.4K16.9K25.3K127 on Jul 24, 202423K on Oct 13Jul '24Nov '24Mar '25Jul '25Nov '25MarJul
Jul 24, 2024 → Oct 13 · 157 snapshots · spans 811 days

Benchmarks

Benchmark Score Source
BBH average 0.4379296925671293 OpenLLM-v2
IFEval instruct 0.7757793764988009 OpenLLM-v2
IFEval-Prompt 0.6931608133086876 OpenLLM-v2
MATH lvl 5 0.06419939577039276 OpenLLM-v2
MMLU-Pro 0.3503158244680851 OpenLLM-v2

Genealogy 0 direct forks

Full fork graph →

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

Metadata

License
llama3.1
Quantizations
BF16 F16 IQ1 IQ2 IQ3 IQ4 Q2_K Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf abliterated uncensored quantized GGUF quantization imat imatrix static 16bit 8bit 6bit

Related

Total size
116 GB
Files
30
Quantizations
13
Registered
2026-08-22 13:56
Last updated on HF
2024-07-28 18:57

Files by quantization

BF16 1 file 15.0 GB
Meta-Llama-3.1-8B-Instruct-abliterated.BF16.gguf 15.0 GB ce54c98c download
F16 1 file 15.0 GB
Meta-Llama-3.1-8B-Instruct-abliterated.FP16.gguf 15.0 GB 227eb4b5 download
Q8_0 1 file 7.95 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf 7.95 GB ae422480 download
Q6_K 1 file 6.14 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf 6.14 GB 216535f7 download
Q5_K 2 files 10.6 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf 5.34 GB 21c790e3 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf 5.21 GB f4ae3987 download
Q4_K 2 files 8.95 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf 4.58 GB e4d2cf86 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf 4.37 GB fa911dd3 download
IQ4 2 files 8.50 GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf 4.36 GB daeb5499 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf 4.14 GB 13bc4175 download
Q3_K 3 files 11.2 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf 4.03 GB f670feee download
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf 3.74 GB 5f1185b7 download
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf 3.41 GB 9a71adc8 download
IQ3 4 files 13.3 GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf 3.52 GB 4d007a7f download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf 3.43 GB be678f92 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf 3.28 GB 9a689a06 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XXS.gguf 3.05 GB f4ea2091 download
Q2_K 2 files 5.74 GB
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf 2.96 GB 40380a8e download
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K_S.gguf 2.78 GB 80bef786 download
IQ2 4 files 9.98 GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_M.gguf 2.75 GB 1a35e537 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_S.gguf 2.57 GB 508cbc10 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XS.gguf 2.43 GB 418c6793 download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XXS.gguf 2.23 GB e99fa081 download
IQ1 2 files 3.89 GB
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_M.gguf 2.01 GB 95a4871d download
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_S.gguf 1.88 GB da6e993a download
Auxiliary files 5 files 5.05 MB
imatrix.dat 4.76 MB 81c619aa download
imatrix.dataset 273 KB 41ae1656 download
README.md 11.9 KB 0294bd45 download
imatrix.log 11.2 KB 1b70d21f download
.gitattributes 3.63 KB 09a48784 download

README current version from Hugging Face


base_model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
inference: false
library_name: gguf
license: llama3.1
pipeline_tag: text-generation
quantized_by: legraphista
tags:

  • abliterated
  • uncensored
  • quantized
  • GGUF
  • quantization
  • imat
  • imatrix
  • static
  • 16bit
  • 8bit
  • 6bit
  • 5bit
  • 4bit
  • 3bit
  • 2bit
  • 1bit

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

Llama.cpp imatrix quantization of mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated

Original Model: mlabonne/Meta-Llama-3.1-8B-Instruct-abliterated
Original dtype: BF16 (bfloat16)
Quantized by: llama.cpp b3484
IMatrix dataset: here


Files

IMatrix

Status: ✅ Available
Link: here

Common Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf Q8_0 8.54GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf Q6_K 6.60GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf Q4_K 4.92GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf Q3_K 4.02GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf Q2_K 3.18GB ✅ Available 🟢 IMatrix 📦 No

All Quants

Filename Quant type File Size Status Uses IMatrix Is Split
Meta-Llama-3.1-8B-Instruct-abliterated.BF16.gguf BF16 16.07GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.FP16.gguf F16 16.07GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf Q8_0 8.54GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q6_K.gguf Q6_K 6.60GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K.gguf Q5_K 5.73GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q5_K_S.gguf Q5_K_S 5.60GB ✅ Available ⚪ Static 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K.gguf Q4_K 4.92GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q4_K_S.gguf Q4_K_S 4.69GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_NL.gguf IQ4_NL 4.68GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ4_XS.gguf IQ4_XS 4.45GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K.gguf Q3_K 4.02GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_L.gguf Q3_K_L 4.32GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q3_K_S.gguf Q3_K_S 3.66GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_M.gguf IQ3_M 3.78GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_S.gguf IQ3_S 3.68GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XS.gguf IQ3_XS 3.52GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ3_XXS.gguf IQ3_XXS 3.27GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K.gguf Q2_K 3.18GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.Q2_K_S.gguf Q2_K_S 2.99GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_M.gguf IQ2_M 2.95GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_S.gguf IQ2_S 2.76GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XS.gguf IQ2_XS 2.61GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ2_XXS.gguf IQ2_XXS 2.40GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_M.gguf IQ1_M 2.16GB ✅ Available 🟢 IMatrix 📦 No
Meta-Llama-3.1-8B-Instruct-abliterated.IQ1_S.gguf IQ1_S 2.02GB ✅ Available 🟢 IMatrix 📦 No

Downloading using huggingface-cli

If you do not have hugginface-cli installed:

pip install -U "huggingface_hub[cli]"

Download the specific file you want:

huggingface-cli download legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF --include "Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf" --local-dir ./

If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run:

huggingface-cli download legraphista/Meta-Llama-3.1-8B-Instruct-abliterated-IMat-GGUF --include "Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0/*" --local-dir ./
# see FAQ for merging GGUF's

Inference

Simple chat template

<|begin_of_text|><|start_header_id|>user<|end_header_id|>

{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>

{next_user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Chat template with system prompt

<|begin_of_text|><|start_header_id|>system<|end_header_id|>

{system_prompt}<|eot_id|><|start_header_id|>user<|end_header_id|>

{user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

{assistant_response}<|eot_id|><|start_header_id|>user<|end_header_id|>

{next_user_prompt}<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Llama.cpp

llama.cpp/main -m Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf --color -i -p "prompt here (according to the chat template)"

FAQ

Why is the IMatrix not applied everywhere?

According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

How do I merge a split GGUF?

  1. Make sure you have gguf-split available
  2. Locate your GGUF chunks folder (ex: Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0)
  3. Run gguf-split --merge Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0/Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0-00001-of-XXXXX.gguf Meta-Llama-3.1-8B-Instruct-abliterated.Q8_0.gguf
    • Make sure to point gguf-split to the first chunk of the split.

Got a suggestion? Ping me @legraphista!

README history 20 versions

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

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