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DavidAU/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored

DavidAU Gemma 10B
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Response includes
  • classification m5
  • files 28
  • benchmarks 16 entries
  • hub_downloads_all_time 2,238
  • 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 · lifetime
2K
238 last 30d - stable
Likes
7
Descendants
4
in 4 direct forks
Model age
23mo ago
created 2024-10-30
Downloads over time
Now2.3K→from80↑2,803%
08501.7K2.6K80 on Nov 6, 20242.3K on Oct 11Nov '24Feb '25May '25Aug '25Nov '25FebMayAug
Nov 6, 2024 → Oct 11 · 140 snapshots · spans 704 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
Arena-Battles 57197 LM-Arena
LM Arena Elo 1213.1643043935535 LM-Arena
Arena-Elo-Lower 1209.7180045436323 LM-Arena
Arena-Elo-Upper 1216.6106042434747 LM-Arena
Arena-Rank 140 LM-Arena
Entertainment 0.9 UGI
Hazardous 2.9 UGI
Natural Intelligence 12.69 UGI
Political lean -25.3% UGI
Sensitive-Info 13.28 UGI
SocPol 0.6 UGI
UGI 12.19 UGI
Willingness (10) 1 UGI
W10-Adherence 1 UGI
W10-Direct 1 UGI
Writing 24.99 UGI

Genealogy 4 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 · 12K downloads combined

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

Metadata

Tags
transformers safetensors gemma2 text-generation mergekit merge conversational base_model:google/gemma-2-9b-it base_model:finetune:google/gemma-2-9b-it text-generation-inference endpoints_compatible region:us

Related

Total size
18.7 GB
Files
28
Quantizations
1
Registered
2026-08-22 13:56
Last updated on HF
2025-05-28 03:17

Files by quantization

Auxiliary files 28 files 18.7 GB
model-00001-of-00020.safetensors 1.71 GB 20a6526c download
model-00002-of-00020.safetensors 952 MB 8b546f90 download
model-00004-of-00020.safetensors 952 MB c16b76ab download
model-00006-of-00020.safetensors 952 MB 4539c80b download
model-00008-of-00020.safetensors 952 MB 49657ef4 download
model-00010-of-00020.safetensors 952 MB 33c98b2f download
model-00012-of-00020.safetensors 952 MB 189c4491 download
model-00014-of-00020.safetensors 952 MB 0c2f046c download
model-00019-of-00020.safetensors 952 MB 9f4f621f download
model-00003-of-00020.safetensors 938 MB aca24bef download
model-00005-of-00020.safetensors 938 MB 62246c1c download
model-00009-of-00020.safetensors 938 MB bad19126 download
model-00013-of-00020.safetensors 938 MB 529724e0 download
model-00007-of-00020.safetensors 938 MB b8af882e download
model-00011-of-00020.safetensors 938 MB 18a92bb1 download
model-00015-of-00020.safetensors 938 MB 93176b32 download
model-00018-of-00020.safetensors 896 MB 05e431dc download
model-00017-of-00020.safetensors 882 MB 661899ea download
model-00016-of-00020.safetensors 868 MB 3899607b download
model-00020-of-00020.safetensors 560 MB 81951e89 download
tokenizer.json 16.7 MB 7da53ca2 download
tokenizer.model 4.04 MB 61a7b147 download
model.safetensors.index.json 39.8 KB 267d99a7 download
tokenizer_config.json 39.6 KB f5fc6c87 download
README.md 3.07 KB 71722055 download
.gitattributes 1.53 KB 52373fe2 download
config.json 933 B 5e9d1dc8 download
special_tokens_map.json 636 B 8d6368f7 download

README current version from Hugging Face


library_name: transformers
tags:

  • mergekit
  • merge
  • gemma2
    base_model:
  • google/gemma-2-9b-it

Gemma-The-Writer-N-Restless-Quill-10B-Uncensored

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 2" (settings will enhance operation / optional adjustments) 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/Gemma-The-Writer-N-Restless-Quill-10B-Uncensored-gguf ]

Additional quants:

[ https://huggingface.co/mradermacher/Gemma-The-Writer-N-Restless-Quill-10B-GGUF]

Imatrix ggufs:
[ https://huggingface.co/mradermacher/Gemma-The-Writer-N-Restless-Quill-10B-i1-GGUF]

[ https://huggingface.co/RichardErkhov/DavidAU_-_Gemma-The-Writer-N-Restless-Quill-10B-gguf]

README history 7 versions

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

  1. 2025-05-28Update README.md71b9cad3.1 KB
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  2. 2024-11-22Update README.md1138d6b3 KB
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  3. 2024-11-06Update README.mdf442c631008 B
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  4. 2024-11-06Update README.md56b4871997 B
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  5. 2024-11-01Update README.mdd8991d5986 B
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  6. 2024-10-30Create README.md7027844686 B
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  7. 2024-10-30Upload folder using huggingface_hubaa98a462 KB
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