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tensorblock/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-GGUF

tensorblock 7B GGUF second-order 131K ctx
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curl -H "Authorization: Bearer $ABL_KEY" \
     "https://abliteration.org/api/v1/models/tensorblock%2FL3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-GGUF"
Response includes
  • classification m8
  • files 4
  • hub_downloads_all_time 3,365
  • author_summary 96 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
HIGH
Inherited from base model
Why this label 3 signals
Producer identity confirmed by naming conventions, tags or the model card. This label is very unlikely to change.
  • author=tensorblock (M8 quantization producer)
  • is_gguf=1
  • base_model='DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B' looks abliterated -> assume M1
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
3K
249 last 30d - cooling
Likes
0
Model age
21mo ago
created 2025-01-01
Downloads over time
Now3.5K→from237↑1,362%
101.3K2.5K3.8K237 on Jan 1, 20253.5K on Oct 11Jan '25Apr '25Jul '25Oct '25JanAprJulOct
Jan 1, 2025 → Oct 11 · 132 snapshots · spans 648 days

Genealogy 0 direct forks

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

Metadata

Quantizations
Q2_K Q3_K
Tags
transformers gguf mergekit merge TensorBlock GGUF base_model:DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B base_model:quantized:DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B endpoints_compatible region:us conversational

Related

Total size
6.22 GB
Files
4
Quantizations
3
Registered
2026-08-22 13:56
Last updated on HF
2026-01-27 21:13

Files by quantization

Q3_K 1 file 3.49 GB
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q3_K_M.gguf 3.49 GB cddd4496 download
Q2_K 1 file 2.73 GB
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q2_K.gguf 2.73 GB eb8dfc67 download
Auxiliary files 2 files 10.8 KB
README.md 8.14 KB 1314dd9c download
.gitattributes 2.68 KB d733ccb1 download

README current version from Hugging Face


library_name: transformers
tags:

  • mergekit
  • merge
  • TensorBlock
  • GGUF
    base_model: DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B

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DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B - GGUF

This repo contains GGUF format model files for DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B.

The files were quantized using machines provided by TensorBlock, and they are compatible with llama.cpp as of commit b4242.

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## Prompt template
<|begin_of_text|><|start_header_id|>system<|end_header_id|>

Cutting Knowledge Date: December 2023
Today Date: 01 Jan 2025

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

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

Model file specification

Filename Quant type File Size Description
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q2_K.gguf Q2_K 2.932 GB smallest, significant quality loss - not recommended for most purposes
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q3_K_S.gguf Q3_K_S 3.400 GB very small, high quality loss
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q3_K_M.gguf Q3_K_M 3.749 GB very small, high quality loss
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q3_K_L.gguf Q3_K_L 4.052 GB small, substantial quality loss
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q4_0.gguf Q4_0 4.348 GB legacy; small, very high quality loss - prefer using Q3_K_M
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q4_K_S.gguf Q4_K_S 4.375 GB small, greater quality loss
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q4_K_M.gguf Q4_K_M 4.589 GB medium, balanced quality - recommended
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q5_0.gguf Q5_0 5.240 GB legacy; medium, balanced quality - prefer using Q4_K_M
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q5_K_S.gguf Q5_K_S 5.240 GB large, low quality loss - recommended
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q5_K_M.gguf Q5_K_M 5.364 GB large, very low quality loss - recommended
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q6_K.gguf Q6_K 6.188 GB very large, extremely low quality loss
L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q8_0.gguf Q8_0 8.013 GB very large, extremely low quality loss - not recommended

Downloading instruction

Command line

Firstly, install Huggingface Client

pip install -U "huggingface_hub[cli]"

Then, downoad the individual model file the a local directory

huggingface-cli download tensorblock/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-GGUF --include "L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-Q2_K.gguf" --local-dir MY_LOCAL_DIR

If you wanna download multiple model files with a pattern (e.g., *Q4_K*gguf), you can try:

huggingface-cli download tensorblock/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-GGUF --local-dir MY_LOCAL_DIR --local-dir-use-symlinks False --include='*Q4_K*gguf'

README history 4 versions

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

  1. 2025-07-09Update README.md9e385db8.1 KB
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  2. 2025-06-19Update README.mdaad179b7.4 KB
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  3. 2025-04-21Update README.md630c65d7.3 KB
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  4. 2025-01-01Upload folder using huggingface_hub1262bf86.4 KB
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