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RichardErkhov/DavidAU_-_L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B-8bits

RichardErkhov Llama 6.7B
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Abliteration classifier · v1.0.0
M1
Primary method

Direct removal

No other method signals detected in this model.
Confidence
MEDIUM
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=0 (base model)
  • no specific method indicators - defaulting to M1 (most common)
Refusal direction extracted via
Extraction technique

Difference-of-means

Confidence
MEDIUM
Why we say so
primary_method=M1; difference-of-means is the reference extraction for M1/M3 (Arditi 2024)
Downloads · lifetime
66
12 last 30d - stable
Likes
0
Model age
18mo ago
created 2025-03-26
Downloads over time
Now69→from2↑3,350%
02550762 on Mar 26, 202569 on Oct 1169 on Oct 4Mar '25Jun '25Sep '25Dec '25MarJunSep
Mar 26, 2025 → Oct 11 · 120 snapshots · spans 564 days

Metadata

Tags
safetensors llama 8-bit bitsandbytes region:us

Related

Total size
7.02 GB
Files
10
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-03-26 05:32

Files by quantization

Auxiliary files 10 files 7.04 GB
model-00001-of-00002.safetensors 4.65 GB 2afc47bd download
model-00002-of-00002.safetensors 2.37 GB 658eb33b download
tokenizer.json 16.4 MB 65ff5472 download
model.safetensors.index.json 125 KB fc292de4 download
tokenizer_config.json 53.4 KB c0fe829f download
README.md 3.19 KB 14fadbf0 download
.gitattributes 1.53 KB 52373fe2 download
config.json 1.40 KB b2a1dfac download
special_tokens_map.json 439 B 344c8261 download
generation_config.json 155 B 5273e160 download

README current version from Hugging Face

Quantization made by Richard Erkhov.

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L3.2-Rogue-Creative-Instruct-Uncensored-Abliterated-7B - bnb 8bits

Original model description:

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 ]

README history 1 version

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

  1. 2025-03-26uploaded readme33af2be3.2 KB
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