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DavidAU/Llama-3.1-128k-Dark-Planet-Uncensored-8B

DavidAU Llama 8B
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Response includes
  • classification m5
  • files 16
  • benchmarks 11 entries
  • author_summary 213 models
  • readme_text full
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Abliteration classifier · v1.0.0
M5
Primary method

Mergekit merge

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.
  • merge tag / mergekit / dare-ties in tags or name
  • no unusual architecture pattern (regular merge)
  • no abliteration marker
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 · 30-day
18
↑ 86,314% in 90 days
Likes
2
Descendants
2
in 2 direct forks
Model age
18mo ago
created 2025-04-18
Downloads over time
Now6K→from7↑86,314%
02.2K4.4K6.7K7 on Apr 16, 20256K on Sep 8Apr '25Jul '25Oct '25JanAprJul
Apr 16, 2025 → Sep 8 · 84 snapshots · spans 510 days

Benchmarks

Portrait before abliteration
Benchmarks of the base model as it stood before the refusal-removal operation. Compare with the numbers above to see what the operation cost.
Benchmark Score Source
Entertainment 1 UGI
Hazardous 1.2 UGI
Natural Intelligence 12.61 UGI
Political lean -11.9% UGI
Sensitive-Info 12.09 UGI
SocPol 1.5 UGI
UGI 20.56 UGI
Willingness (10) 3.8 UGI
W10-Adherence 3.5 UGI
W10-Direct 4 UGI
Writing 30.44 UGI

Genealogy 2 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.

Variants by this author 2 formats · 3K 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 llama 3.1 llama-3 llama3 llama-3.1 conversational base_model:Hastagaras/Jamet-8B-L3-MK.V-Blackroot

Related

Total size
29.9 GB
Files
16
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-07-28 00:06

Files by quantization

Auxiliary files 16 files 29.9 GB
model-00003-of-00009.safetensors 3.69 GB b56cddf5 download
model-00005-of-00009.safetensors 3.69 GB 99414747 download
model-00007-of-00009.safetensors 3.69 GB 7ac7f6e8 download
model-00004-of-00009.safetensors 3.63 GB f13d59d8 download
model-00006-of-00009.safetensors 3.63 GB 4925349c download
model-00008-of-00009.safetensors 3.63 GB 07479922 download
model-00002-of-00009.safetensors 3.58 GB a19acb63 download
model-00009-of-00009.safetensors 2.44 GB 7213385b download
model-00001-of-00009.safetensors 1.96 GB 59c51d1e download
tokenizer.json 8.66 MB 5cc5f00a download
tokenizer_config.json 50.0 KB 02d8164d download
model.safetensors.index.json 22.2 KB 4fc7f7a5 download
README.md 4.87 KB 55037681 download
.gitattributes 1.48 KB a6344aac download
config.json 917 B d1ba23d2 download
special_tokens_map.json 439 B 344c8261 download

README current version from Hugging Face


library_name: transformers
tags:

  • mergekit
  • merge
  • llama 3.1
  • llama-3
  • llama3
  • llama-3.1
    base_model:
  • Sao10K/L3-8B-Stheno-v3.2
  • NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
  • Hastagaras/Jamet-8B-L3-MK.V-Blackroot
  • aifeifei798/DarkIdol-Llama-3.1-8B-Instruct-1.2-Uncensored

Llama-3.1-128k-Dark-Planet-Uncensored-8B

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 3/4" (settings will enhance 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/Llama-3.1-128k-Dark-Planet-Uncensored-8B-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.mdbccb6a54.9 KB
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  2. 2025-05-28Update README.mde4dded42.9 KB
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  3. 2025-04-18Update README.md9ce5cd42.9 KB
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  4. 2025-04-18Create README.mdbf27f8e2.7 KB
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  5. 2025-04-18Upload folder using huggingface_hubabade2f1.1 KB
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Discussions 1 thread

  1. 2026-03-14The tokenizer `DavidAU/Llama-3.1-128k-Dark-Planet-Uncensored-8B` does not have …open2 💬#1
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