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nbeerbower_qwen3-gutenberg-encore-14b
nbeerbower/Xiaolong-Qwen3-14B finetuned on:
jondurbin/gutenberg-dpo-v0.1
nbeerbower/gutenberg2-dpo
nbeerbower/gutenberg-moderne-dpo
nbeerbower/synthetic-fiction-dpo
nbeerbower/Arkhaios-DPO
nbeerbower/Purpura-DPO
nbeerbower/Schule-DPO
Repository: localaiLicense: apache-2.0
qwen3-42b-a3b-stranger-thoughts-deep20x-abliterated-uncensored-i1
WARNING: NSFW. Vivid prose. INTENSE. Visceral Details. Violence. HORROR. GORE. Swearing. UNCENSORED... humor, romance, fun.
Qwen3-42B-A3B-Stranger-Thoughts-Deep20x-Abliterated-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.
ABOUT:
Qwen's excellent "Qwen3-30B-A3B", abliterated by "huihui-ai" then combined Brainstorm 20x (tech notes at bottom of the page) in a MOE (128 experts) at 42B parameters (up from 30B).
This pushes Qwen's abliterated/uncensored model to the absolute limit for creative use cases.
Prose (all), reasoning, thinking ... all will be very different from reg "Qwen 3s".
This model will generate horror, fiction, erotica, - you name it - in vivid, stark detail.
It will NOT hold back.
Likewise, regen(s) of the same prompt - even at the same settings - will create very different version(s) too.
See FOUR examples below.
Model retains full reasoning, and output generation of a Qwen3 MOE ; but has not been tested for "non-creative" use cases.
Model is set with Qwen's default config:
40 k context
8 of 128 experts activated.
Chatml OR Jinja Template (embedded)
IMPORTANT:
See usage guide / repo below to get the most out of this model, as settings are very specific.
USAGE GUIDE:
Please refer to this model card for
Specific usage, suggested settings, changing ACTIVE EXPERTS, templates, settings and the like:
How to maximize this model in "uncensored" form, with specific notes on "abliterated" models.
Rep pen / temp settings specific to getting the model to perform strongly.
https://huggingface.co/DavidAU/Qwen3-18B-A3B-Stranger-Thoughts-Abliterated-Uncensored-GGUF
GGUF / QUANTS / SPECIAL SHOUTOUT:
Special thanks to team Mradermacher for making the quants!
https://huggingface.co/mradermacher/Qwen3-42B-A3B-Stranger-Thoughts-Deep20x-Abliterated-Uncensored-GGUF
KNOWN ISSUES:
Model may "mis-capitalize" word(s) - lowercase, where uppercase should be - from time to time.
Model may add extra space from time to time before a word.
Incorrect template and/or settings will result in a drop in performance / poor performance.
Repository: localaiLicense: apache-2.0
qwen3-22b-a3b-the-harley-quinn
WARNING: MADNESS - UN HINGED and... NSFW. Vivid prose. INTENSE. Visceral Details. Violence. HORROR. GORE. Swearing. UNCENSORED... humor, romance, fun.
Qwen3-22B-A3B-The-Harley-Quinn
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.
ABOUT:
A stranger, yet radically different version of Kalmaze's "Qwen/Qwen3-16B-A3B" with the experts pruned to 64 (from 128, the Qwen 3 30B-A3B version) and then I added 19 layers expanding (Brainstorm 20x by DavidAU info at bottom of this page) the model to 22B total parameters.
The goal: slightly alter the model, to address some odd creative thinking and output choices.
Then... Harley Quinn showed up, and then it was a party!
A wild, out of control (sometimes) but never boring party.
Please note that the modifications affect the entire model operation; roughly I adjusted the model to think a little "deeper" and "ponder" a bit - but this is a very rough description.
That being said, reasoning and output generation will be altered regardless of your use case(s).
These modifications pushes Qwen's model to the absolute limit for creative use cases.
Detail, vividiness, and creativity all get a boost.
Prose (all) will also be very different from "default" Qwen3.
Likewise, regen(s) of the same prompt - even at the same settings - will create very different version(s) too.
The Brainstrom 20x has also lightly de-censored the model under some conditions.
However, this model can be prone to bouts of madness.
It will not always behave, and it will sometimes go -wildly- off script.
See 4 examples below.
Model retains full reasoning, and output generation of a Qwen3 MOE ; but has not been tested for "non-creative" use cases.
Model is set with Qwen's default config:
40 k context
8 of 64 experts activated.
Chatml OR Jinja Template (embedded)
Four example generations below.
IMPORTANT:
See usage guide / repo below to get the most out of this model, as settings are very specific.
If not set correctly, this model will not work the way it should.
Critical settings:
Chatml or Jinja Template (embedded, but updated version at repo below)
Rep pen of 1.01 or 1.02 ; higher (1.04, 1.05) will result in "Harley Mode".
Temp range of .6 to 1.2. ; higher you may need to prompt the model to "output" after thinking.
Experts set at 8-10 ; higher will result in "odder" output BUT it might be better.
That being said, "Harley Quinn" may make her presence known at any moment.
USAGE GUIDE:
Please refer to this model card for
Specific usage, suggested settings, changing ACTIVE EXPERTS, templates, settings and the like:
How to maximize this model in "uncensored" form, with specific notes on "abliterated" models.
Rep pen / temp settings specific to getting the model to perform strongly.
https://huggingface.co/DavidAU/Qwen3-18B-A3B-Stranger-Thoughts-Abliterated-Uncensored-GGUF
GGUF / QUANTS / SPECIAL SHOUTOUT:
Special thanks to team Mradermacher for making the quants!
https://huggingface.co/mradermacher/Qwen3-22B-A3B-The-Harley-Quinn-GGUF
KNOWN ISSUES:
Model may "mis-capitalize" word(s) - lowercase, where uppercase should be - from time to time.
Model may add extra space from time to time before a word.
Incorrect template and/or settings will result in a drop in performance / poor performance.
Can rant at the end / repeat. Most of the time it will stop on its own.
Looking for the Abliterated / Uncensored version?
https://huggingface.co/DavidAU/Qwen3-23B-A3B-The-Harley-Quinn-PUDDIN-Abliterated-Uncensored
In some cases this "abliterated/uncensored" version may work better than this version.
EXAMPLES
Standard system prompt, rep pen 1.01-1.02, topk 100, topp .95, minp .05, rep pen range 64.
Tested in LMStudio, quant Q4KS, GPU (CPU output will differ slightly).
As this is the mid range quant, expected better results from higher quants and/or with more experts activated to be better.
NOTE: Some formatting lost on copy/paste.
WARNING: NSFW. Vivid prose. INTENSE. Visceral Details. Violence. HORROR. GORE. Swearing. UNCENSORED... humor, romance, fun.
Repository: localaiLicense: apache-2.0
qwen3-stargate-sg1-uncensored-abliterated-8b-i1
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.
This model is specifically for SG1 (Stargate Series), science fiction, story generation (all genres) but also does coding and general tasks too.
This model can also be used for Role play.
This model will produce uncensored content (see notes below).
Fine tune (6 epochs, using Unsloth for Win 11) on an inhouse generated dataset to simulate / explore the Stargate SG1 Universe.
This version has the "canon" of all 10 seasons of SG1.
Model also contains, but not trained, on content from Stargate Atlantis, and Universe.
Fine tune process adds knowledge to the model, and alter all aspects of its operations.
Float32 (32 bit precision) was used to further increase the model's quality.
This model is based on "Goekdeniz-Guelmez/Josiefied-Qwen3-8B-abliterated-v1".
Example generations at the bottom of this page.
This is a Stargate (SG1) fine tune (1,331,953,664 of 9,522,689,024 (13.99% trained)), SIX epochs on this model.
As this is an instruct model, it will also benefit from a detailed system prompt too.
Repository: localaiLicense: apache-2.0
soob3123_amoral-gemma3-12b
A fine-tuned version of Google's Gemma 3 12B instruction-tuned model optimized for creative freedom and reduced content restrictions. This variant maintains strong reasoning capabilities while excelling in roleplaying scenarios and open-ended content generation.
Key Modifications:
Reduced refusal mechanisms compared to base model
Enhanced character consistency in dialogues
Improved narrative flow control
Optimized for multi-turn interactions
Intended Use
Primary Applications:
Interactive fiction and storytelling
Character-driven roleplaying scenarios
Creative writing assistance
Experimental AI interactions
Content generation for mature audiences
Repository: localaiLicense: apache-2.0
invisietch_l3.3-ignition-v0.1-70b
Ignition v0.1 is a Llama 3.3-based model merge designed for creative roleplay and fiction writing purposes. The model underwent a multi-stage merge process designed to optimise for creative writing capability, minimising slop, and improving coherence when compared with its constituent models.
The model shows a preference for detailed character cards and is sensitive to detailed system prompting. If you want a specific behavior from the model, try prompting for it directly.
Inferencing has been tested at fp8 and fp16, and both are coherent up to ~64k context.
Repository: localaiLicense: llama3.3
mn-12b-mag-mell-r1-iq-arm-imatrix
This is a merge of pre-trained language models created using mergekit. Mag Mell is a multi-stage merge, Inspired by hyper-merges like Tiefighter and Umbral Mind. Intended to be a general purpose "Best of Nemo" model for any fictional, creative use case.
6 models were chosen based on 3 categories; they were then paired up and merged via layer-weighted SLERP to create intermediate "specialists" which are then evaluated in their domain. The specialists were then merged into the base via DARE-TIES, with hyperparameters chosen to reduce interference caused by the overlap of the three domains. The idea with this approach is to extract the best qualities of each component part, and produce models whose task vectors represent more than the sum of their parts.
The three specialists are as follows:
Hero (RP, kink/trope coverage): Chronos Gold, Sunrose.
Monk (Intelligence, groundedness): Bophades, Wissenschaft.
Deity (Prose, flair): Gutenberg v4, Magnum 2.5 KTO.
I've been dreaming about this merge since Nemo tunes started coming out in earnest. From our testing, Mag Mell demonstrates worldbuilding capabilities unlike any model in its class, comparable to old adventuring models like Tiefighter, and prose that exhibits minimal "slop" (not bad for no finetuning,) frequently devising electrifying metaphors that left us consistently astonished.
I don't want to toot my own bugle though; I'm really proud of how this came out, but please leave your feedback, good or bad.Special thanks as usual to Toaster for his feedback and Fizz for helping fund compute, as well as the KoboldAI Discord for their resources. The following models were included in the merge:
IntervitensInc/Mistral-Nemo-Base-2407-chatml
nbeerbower/mistral-nemo-bophades-12B
nbeerbower/mistral-nemo-wissenschaft-12B
elinas/Chronos-Gold-12B-1.0
Fizzarolli/MN-12b-Sunrose
nbeerbower/mistral-nemo-gutenberg-12B-v4
anthracite-org/magnum-12b-v2.5-kto
Repository: localaiLicense: unlicense
cydonia-24b-v4.2.0-i1
**Cydonia-24B-v4.2.0** is a creatively oriented, large language model developed by *TheDrummer*, based on the **Mistral-Small-3.2-24B-Instruct-2507** foundation. Fine-tuned for dynamic storytelling, imaginative writing, and expressive roleplay, it excels in narrative coherence, linguistic flair, and non-aligned, open-ended interaction. Designed for users seeking creativity over strict alignment, the model delivers rich, engaging, and often surprising outputs—ideal for fiction writing, worldbuilding, and entertainment-focused AI use.
**Key Features:**
- Built on Mistral-Small-3.2-24B-Instruct-2507 base
- Optimized for creative writing, roleplay, and narrative depth
- Minimal alignment constraints for greater freedom and expression
- Available in GGUF, EXL3, and iMatrix formats for local inference
> *“This is the best model of yours I've tried yet… It writes superbly well.”* – User testimonial
**Best For:** Writers, worldbuilders, and creators who value imagination, voice, and stylistic richness over rigid safety or factual accuracy.
*Model Repository:* [TheDrummer/Cydonia-24B-v4.2.0](https://huggingface.co/TheDrummer/Cydonia-24B-v4.2.0)
Repository: localaiLicense: apache-2.0
qwen3-6b-almost-human-xmen-x4-x2-x1-dare-e32
**Model Name:** Qwen3-6B-Almost-Human-XMEN-X4-X2-X1-Dare-e32
**Author:** DavidAU (based on original Qwen3-6B architecture)
**Repository:** [DavidAU/Qwen3-Almost-Human-XMEN-X4-X2-X1-Dare-e32](https://huggingface.co/DavidAU/Qwen3-Almost-Human-XMEN-X4-X2-X1-Dare-e32)
**Base Model:** Qwen3-6B (original Qwen3 6B from Alibaba)
**License:** Apache 2.0
**Quantization Status:** Full-precision (float32) source model available; GGUF quantizations also provided by third parties (e.g., mradermacher)
---
### 🌟 Model Description
**Qwen3-6B-Almost-Human-XMEN-X4-X2-X1-Dare-e32** is a creatively enhanced, instruction-tuned variant of the Qwen3-6B model, meticulously fine-tuned to emulate the literary voice and psychological depth of **Philip K. Dick**. Developed by DavidAU using **Unsloth** and trained on multiple proprietary datasets—including works of PK Dick, personal notes, letters, and creative writing—this model excels in **narrative richness, emotional nuance, and complex reasoning**.
It is the result of a **"DARE-TIES" merge** combining four distinct training variants: X4, X2, and two X1 models, with the final fusion mastered in **32-bit precision (float32)** for maximum fidelity. The model incorporates **Brainstorm 20x**, a novel reasoning enhancement technique that expands and recalibrates the model’s internal reasoning centers 20 times to improve coherence, detail, and creative depth—without compromising instruction-following.
---
### ✨ Key Features
- **Enhanced Prose & Storytelling:** Generates vivid, immersive, and deeply human-like narratives with foreshadowing, similes, metaphors, and emotional engagement.
- **Strong Reasoning & Creativity:** Ideal for brainstorming, roleplay, long-form writing, and complex problem-solving.
- **High Context (256K):** Supports extensive conversations and long-form content.
- **Optimized for Creative & Coding Tasks:** Performs exceptionally well with detailed prompts and step-by-step refinement.
- **Full-Precision Source Available:** Original float32 model is provided—ideal for advanced users and model developers.
---
### 🛠️ Recommended Use Cases
- Creative writing & fiction generation
- Roleplaying and character-driven dialogue
- Complex brainstorming and ideation
- Code generation with narrative context
- Literary and philosophical exploration
> 🔍 **Note:** The GGUF quantized version (e.g., by mradermacher) is **not the original**—it’s a derivative. For the **true base model**, use the **DavidAU/Qwen3-Almost-Human-X1-6B-e32** repository, which hosts the original, full-precision model.
---
### 📌 Tips for Best Results
- Use **CHATML or Jinja templates**
- Set `temperature: 0.3–0.7`, `top_p: 0.8`, `repetition_penalty: 1.05–1.1`
- Enable **smoothing factor (1.5)** in tools like KoboldCpp or Text-Gen-WebUI for smoother output
- Use **Q6 or Q8 GGUF quants** for best performance on complex tasks
---
✨ **In short:** A poetic, introspective, and deeply human-like AI—crafted to feel like a real mind, not just a machine. Perfect for those who want **intelligence with soul**.
Repository: localaiLicense: apache-2.0
almost-human-x3-32bit-1839-6b-i1
**Model Name:** Almost-Human-X3-32bit-1839-6B
**Base Model:** Qwen3-Jan-v1-256k-ctx-6B-Brainstorm20x
**Author:** DavidAU
**Repository:** [DavidAU/Almost-Human-X3-32bit-1839-6B](https://huggingface.co/DavidAU/Almost-Human-X3-32bit-1839-6B)
**License:** Apache 2.0
---
### 🔍 **Overview**
A high-precision, full-precision (float32) fine-tuned variant of the Qwen3-Jan model, specifically trained to emulate the literary and philosophical depth of Philip K. Dick. This model is the third in the "Almost-Human" series, built with advanced **"Brainstorm 20x"** methodology to enhance reasoning, coherence, and narrative quality—without sacrificing instruction-following ability.
### 🎯 **Key Features**
- **Full Precision (32-bit):** Trained at 16-bit for 3 epochs, then finalized at float32 for maximum fidelity and performance.
- **Extended Context (256k tokens):** Ideal for long-form writing, complex reasoning, and detailed code generation.
- **Advanced Reasoning via Brainstorm 20x:** The model’s reasoning centers are expanded, calibrated, and interconnected 20 times, resulting in:
- Richer, more nuanced prose
- Stronger emotional engagement
- Deeper narrative focus and foreshadowing
- Fewer clichés, more originality
- Enhanced coherence and detail
- **Optimized for Creativity & Code:** Excels at brainstorming, roleplay, storytelling, and multi-step coding tasks.
### 🛠️ **Usage Tips**
- Use **CHATML or Jinja templates** for best results.
- Recommended settings: Temperature 0.3–0.7 (higher for creativity), Top-p 0.8, Repetition penalty 1.05–1.1.
- Best used with **"smoothing" (1.5)** in GUIs like KoboldCpp or oobabooga.
- For complex tasks, use **Q6 or Q8 GGUF quantizations**.
### 📦 **Model Formats**
- **Full precision (safe tensors)** – for training or high-fidelity inference
- **GGUF, GPTQ, EXL2, AWQ, HQQ** – available via quantization (see [mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF](https://huggingface.co/mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF) for quantized versions)
---
### 💬 **Ideal For**
- Creative writing, speculative fiction, and philosophical storytelling
- Complex code generation with deep reasoning
- Roleplay, character-driven dialogue, and immersive narratives
- Researchers and developers seeking a highly expressive, human-like model
> 📌 **Note:** This is the original source model. The GGUF versions by mradermacher are quantized derivatives — not the base model.
---
**Explore the source:** [DavidAU/Almost-Human-X3-32bit-1839-6B](https://huggingface.co/DavidAU/Almost-Human-X3-32bit-1839-6B)
**Quantization guide:** [mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF](https://huggingface.co/mradermacher/Almost-Human-X3-32bit-1839-6B-i1-GGUF)
Repository: localaiLicense: apache-2.0
gemma-3-the-grand-horror-27b
The **Gemma-3-The-Grand-Horror-27B-GGUF** model is a **fine-tuned version** of Google's **Gemma 3 27B** language model, specifically optimized for **extreme horror-themed text generation**. It was trained using the **Unsloth framework** on a custom in-house dataset of horror content, resulting in a model that produces vivid, graphic, and psychologically intense narratives—featuring gore, madness, and disturbing imagery—often even when prompts don't explicitly request horror.
Key characteristics:
- **Base Model**: Gemma 3 27B (original by Google, not the quantized version)
- **Fine-tuned For**: High-intensity horror storytelling, long-form narrative generation, and immersive scene creation
- **Use Case**: Creative writing, horror RP, dark fiction, and experimental storytelling
- **Not Suitable For**: General use, children, sensitive audiences, or content requiring neutral/positive tone
- **Quantization**: Available in GGUF format (e.g., q3k, q4, etc.), making it accessible for local inference on consumer hardware
> ✅ **Note**: The model card you see is for a **quantized, fine-tuned derivative**, not the original. The true base model is **Gemma 3 27B**, available at: https://huggingface.co/google/gemma-3-27b
This model is not for all audiences — it generates content with a consistently dark, unsettling tone. Use responsibly.
Repository: localaiLicense: gemma