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noctrex/Mistral-7B-Instruct-v0.3-abliterated-GGUF

noctrex Mistral 7B GGUF 33K ctx
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Response includes
  • classification m8
  • files 15
  • hub_downloads_all_time 9,507
  • author_summary 44 models
  • readme_text full
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What "m8" means · taxonomy
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Abliteration classifier · v1.0.0
M8
Primary method

Repackaging (quantization)

No other method signals detected in this model.
Confidence
HIGH
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=noctrex (M8 quantization producer)
  • is_gguf=1
  • base_model='mistralai/Mistral-7B-Instruct-v0.3' (source unknown method)
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
10K
456 last 30d - cooling
Likes
4
Model age
10mo ago
created 2025-11-16
Downloads over time
Now9.6K→from510↑1,791%
533.6K7.1K10.6K510 on Nov 19, 20259.6K on Oct 11Nov '25JanMarMayJulSep
Nov 19, 2025 → Oct 11 · 86 snapshots · spans 326 days

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.

mistralai/Mistral-7B-Instruct-v0.3 this lineage
noctrex/Mistral-7B-Instruct-v0.3-abliterated-GGUF↓ 456

Metadata

Quantizations
BF16 IQ3 IQ4 Q3_K Q4_K Q5_K Q6_K Q8_0
Tags
gguf uncensored abliterated text-generation base_model:mistralai/Mistral-7B-Instruct-v0.3 base_model:quantized:mistralai/Mistral-7B-Instruct-v0.3 endpoints_compatible region:us conversational

Related

Other by noctrex
Huihui-Qwen3-VL-4B-Instruct-abliterated-GGUF 28K Huihui-Qwen3-VL-30B-A3B-Instruct-abliterated-GGUF 15K Huihui-Qwen3-VL-8B-Instruct-abliterated-GGUF 9K gemma-4-26B-A4B-it-uncensored-heretic-MXFP4_MOE-GGUF 3K Huihui-Qwen3-VL-2B-Instruct-abliterated-GGUF 3K
Same base model
arzaan789/mistral-7b-uncensored 266 richardyoung/Mistral-7B-Instruct-v0.3-abliterated 241 evolveon/Mistral-7B-Instruct-v0.3-abliterated 179 DavidAU/Mistral-MOE-4X7B-Dark-MultiVerse-Uncensored-Enhanced32-24B 106
Total size
48.9 GB
Files
15
Quantizations
9
Registered
2026-08-22 13:56
Last updated on HF
2025-11-16 21:03
Source huggingface.co/noctrex/Mistral-7B-Instruct-v0.3-abliterated-GGUF ↗ Base model mistralai/Mistral-7B-Instruct-v0.3 ↗

Files by quantization

BF16 1 file 13.5 GB
Mistral-7B-Instruct-v0.3-abliterated-BF16.gguf 13.5 GB 0919df32 download
Q8_0 1 file 7.17 GB
Mistral-7B-Instruct-v0.3-abliterated-Q8_0.gguf 7.17 GB b9d4bfab download
Q6_K 1 file 5.54 GB
Mistral-7B-Instruct-v0.3-abliterated-Q6_K.gguf 5.54 GB 501811d5 download
Q5_K 1 file 4.78 GB
Mistral-7B-Instruct-v0.3-abliterated-Q5_K_M.gguf 4.78 GB 289cfce3 download
Q4_K 1 file 4.07 GB
Mistral-7B-Instruct-v0.3-abliterated-Q4_K_M.gguf 4.07 GB 71cc35de download
IQ4 2 files 7.49 GB
Mistral-7B-Instruct-v0.3-abliterated-IQ4_NL.gguf 3.85 GB e941323f download
Mistral-7B-Instruct-v0.3-abliterated-IQ4_XS.gguf 3.64 GB e52809a7 download
Q3_K 1 file 3.28 GB
Mistral-7B-Instruct-v0.3-abliterated-Q3_K_M.gguf 3.28 GB c5df5485 download
IQ3 1 file 3.06 GB
Mistral-7B-Instruct-v0.3-abliterated-IQ3_M.gguf 3.06 GB 7659a686 download
Auxiliary files 6 files 4.93 MB
imatrix.gguf 4.78 MB a44d7dcd download
tensor_charts.png 69.5 KB c018118e download
older-model.jpg 38.0 KB 4e9b88be download
tensor_difference_distribution.png 34.9 KB fcf1b82b download
.gitattributes 2.27 KB b1eb6ea9 download
README.md 1.63 KB 6031f7ba download

README current version from Hugging Face

pipeline_tag: text-generation
tags:

  • uncensored
  • abliterated
    base_model:
  • mistralai/Mistral-7B-Instruct-v0.3

This is a abliterated version of Mistral-7B-Instruct-v0.3, made using Heretic

The quantizations were created using an imatrix merged from text_en_large and harmful.txt to leverage the abliterated nature of the model.

It's an older model, sir, but it checks out

Performance

Metric This model Original model
KL divergence 0.15 0 (by definition)
Refusals 3/100 85/100

Analysis against the original model:

  • Total Tensors: 291
  • Tensors with Diffs: 47 (16.2%)
  • Average % Diff: 6.99%
  • Median % Diff: 0.00%
  • Min/Max % Diff: 0.00% / 46.77%
  • Std Dev % Diff: 15.97%
  • Skewness % Diff: 1.86
  • Avg L2 Norm: 144619.57
  • Tensors with >5% diff: 47
  • Top differences:
    • blk.14.attn_output.weight ((4096, 8192), L2: 669167.94): 46.77%
    • blk.13.attn_output.weight ((4096, 8192), L2: 667456.52): 46.51%
    • blk.16.attn_output.weight ((4096, 8192), L2: 667644.60): 46.46%
    • blk.12.attn_output.weight ((4096, 8192), L2: 664339.15): 46.03%
    • blk.15.attn_output.weight ((4096, 8192), L2: 664117.46): 45.94%

Tensor Difference Distribution

Tensor Charts

README history 1 version

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

  1. 2025-11-16Add files using upload-large-folder tool4b429271.6 KB
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