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

DavidAU Llama 7.5B
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Response includes
  • classification m5
  • files 23
  • hub_downloads_all_time 8,661
  • author_summary 213 models
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

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.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • abliterated marker present
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
9K
74 last 30d - cooling
Likes
10
Descendants
22
in 16 direct forks
Model age
23mo ago
created 2024-10-31
Downloads over time
Now8.7K→from28↑30,929%
03.2K6.4K9.6K28 on Oct 30, 20248.7K on Oct 12Oct '24Feb '25Jun '25Oct '25FebJunOct
Oct 30, 2024 → Oct 12 · 142 snapshots · spans 712 days

Genealogy 16 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.

DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B↓ 74 16 forks
DavidAU/L3.2-Rogue-Creative-Instruct-DARK-HORROR-Uncensored-Abliterated-7B↓ 91 3 forks
DavidAU/Llama-3.2-PKD-Deckard-Almost-Human-abliterated-uncensored-7B↓ 67 3 forks

Variants by this author 2 formats · 11K downloads combined

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

Metadata

Tags
transformers safetensors llama text-generation mergekit merge conversational text-generation-inference endpoints_compatible region:us

Related

Total size
14.0 GB
Files
23
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-07-28 00:37

Files by quantization

Auxiliary files 23 files 14.0 GB
model-00013-of-00016.safetensors 948 MB d3298f6b download
model-00015-of-00016.safetensors 948 MB 3a6041e7 download
model-00002-of-00016.safetensors 944 MB 33043858 download
model-00004-of-00016.safetensors 942 MB 930f6ada download
model-00003-of-00016.safetensors 936 MB c349563e download
model-00014-of-00016.safetensors 936 MB ab248cc4 download
model-00006-of-00016.safetensors 912 MB 03a9c396 download
model-00007-of-00016.safetensors 912 MB d663b97b download
model-00008-of-00016.safetensors 912 MB 2fd451ef download
model-00009-of-00016.safetensors 912 MB 331eb96b download
model-00010-of-00016.safetensors 912 MB 88e6a62e download
model-00011-of-00016.safetensors 912 MB b08cf4b6 download
model-00012-of-00016.safetensors 912 MB b3eb60b6 download
model-00005-of-00016.safetensors 906 MB 8f92e877 download
model-00001-of-00016.safetensors 752 MB 66ee7eb3 download
model-00016-of-00016.safetensors 672 MB d39065fa download
tokenizer.json 8.66 MB 777c28bc download
tokenizer_config.json 53.3 KB de2d513e download
model.safetensors.index.json 46.4 KB 0fe61c59 download
README.md 4.70 KB a598c338 download
.gitattributes 1.48 KB a6344aac download
config.json 975 B 0d6a17fc download
special_tokens_map.json 325 B b43be966 download

README current version from Hugging Face


library_name: transformers
tags:

  • mergekit
  • merge
    base_model: []

L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B

This repo contains the full precision source code, in "safe tensors" format to generate GGUFs, GPTQ, EXL2, AWQ, HQQ and other formats.
The source code can also be used directly.

IMPORTANT: Highest Quality Settings / Optimal Operation Guide / Parameters and Samplers

If you are going to use this model, (source, GGUF or a different quant), please review this document for critical parameter, sampler and advance sampler settings (for multiple AI/LLM aps).

This a "Class 3" (default settings are critical to operation) model:

For all settings used for this model (including specifics for its "class"), including example generation(s) and for advanced settings guide (which many times addresses any model issue(s)), including methods to improve model performance for all use case(s) as well as chat, roleplay and other use case(s) (especially for use case(s) beyond the model's design) please see:

[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]

REASON:

Regardless of "model class" this document will detail methods to enhance operations.

If the model is a Class 3/4 model the default settings (parameters, samplers, advanced samplers) must be set for "use case(s)" uses correctly. Some AI/LLM apps DO NOT have consistant default setting(s) which result in sub-par model operation. Like wise for Class 3/4 models (which operate somewhat to very differently than standard models) additional samplers and advanced samplers settings are required to "smooth out" operation, AND/OR also allow full operation for use cases the model was not designed for.

BONUS - Use these settings for ANY model, ANY repo, ANY quant (including source/full precision):

This document also details parameters, sampler and advanced samplers that can be use FOR ANY MODEL, FROM ANY REPO too - all quants, and of course source code operation too - to enhance the operation of any model.

[ https://huggingface.co/DavidAU/Maximizing-Model-Performance-All-Quants-Types-And-Full-Precision-by-Samplers_Parameters ]

NOTE:

I strongly suggest you also visit the DavidAU GGUF (below) repo too for more details in using this model ; especially if it is "Class 3" or "Class 4" to get maximum performance from the model.

For full information about this model, including:

  • Details about this model and its use case(s).
  • Context limits
  • Special usage notes / settings.
  • Any model(s) used to create this model.
  • Template(s) used to access/use this model.
  • Example generation(s)
  • GGUF quants of this model

Please go to:

[ https://huggingface.co/DavidAU/L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-gguf ]


Special Thanks:


Special thanks to all the following, and many more...

All the model makers, fine tuners, mergers, and tweakers:

  • Provides the raw "DNA" for almost all my models.
  • Sources of model(s) can be found on the repo pages, especially the "source" repos with link(s) to the model creator(s).

Huggingface [ https://huggingface.co ] :

  • The place to store, merge, and tune models endlessly.
  • THE reason we have an open source community.

LlamaCPP [ https://github.com/ggml-org/llama.cpp ] :

  • The ability to compress and run models on GPU(s), CPU(s) and almost all devices.
  • Imatrix, Quantization, and other tools to tune the quants and the models.
  • Llama-Server : A cli based direct interface to run GGUF models.
  • The only tool I use to quant models.

Quant-Masters: Team Mradermacher, Bartowski, and many others:

  • Quant models day and night for us all to use.
  • They are the lifeblood of open source access.

MergeKit [ https://github.com/arcee-ai/mergekit ] :

  • The universal online/offline tool to merge models together and forge something new.
  • Over 20 methods to almost instantly merge model, pull them apart and put them together again.
  • The tool I have used to create over 1500 models.

Lmstudio [ https://lmstudio.ai/ ] :

  • The go to tool to test and run models in GGUF format.
  • The Tool I use to test/refine and evaluate new models.
  • LMStudio forum on discord; endless info and community for open source.

Text Generation Webui // KolboldCPP // SillyTavern:

README history 5 versions

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

  1. 2025-07-28Update README.mdb5585f54.7 KB
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  2. 2024-11-22Update README.md700b4642.8 KB
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  3. 2024-10-31Update README.mde707339720 B
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  4. 2024-10-31Create README.md68db1ad715 B
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  5. 2024-10-31Upload folder using huggingface_hub99cdcdb10.8 KB
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