base_model, library_name, tags, license, language, model-index
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transformers |
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apache-2.0 |
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KansenSakura-Erosion-RP-12b
<style> .container { display: flex; flex-grow: 1; justify-content: center; } h1 { margin-bottom: 30px; } /* Book Styling */ .book { width: 332px; height: 486px; position: relative; perspective: 1200px; margin: 0 auto; margin-left: 50%; } .page { position: absolute; width: 100%; height: 100%; top: 0; left: 0; transform-style: preserve-3d; transform-origin: left center; transition: all 0.7s cubic-bezier(0.645, 0.045, 0.355, 1); border-radius: 5px 0 0 5px; } .front, .back { position: absolute; width: 100%; height: 100%; top: 0; left: 0; backface-visibility: hidden; border-radius: 5px 0 0 5px; display: flex; flex-direction: column; justify-content: center; align-items: center; padding: 15px; font-size: 14px; box-sizing: border-box; box-shadow: inset 0 0 10px rgba(0,0,0,0.1); } .front { background: linear-gradient(to right, #fefefe 95%, #f0f0f0 100%); } .back { background: #f9f9f9; transform: rotateY(180deg); } /* Page Content Styling */ .page-content { width: 100%; height: 100%; overflow: hidden; text-align: left; } .page-number { position: absolute; bottom: 10px; font-size: 12px; color: #777; } .front .page-number { right: 15px; } .back .page-number { left: 15px; } /* Cover Styling */ .cover { background-image: url('https://cdn-uploads.huggingface.co/production/uploads/6671dd5203d6e8087aaf7ce5/F34iK8guTPplwEBCdwDAk.png'); background-size: cover; background-repeat: no-repeat; } /* Hide radio buttons */ input[type="radio"] { display: none; } .page.cover { transform: rotateY(-180deg); z-index: 0; } .page.page2 { transform: rotateY(0deg); z-index: 3; } .page.page3 { transform: rotateY(0deg); z-index: 2; } /* When cover radio is selected, show front cover */ #cover-radio:checked ~ .book .page.cover { transform: rotateY(0deg); z-index: 4; } /* When page1 radio is selected, turn cover to table of contents and show page1 */ #page1-radio:checked ~ .book .page.cover { transform: rotateY(-180deg); z-index: 0; } /* When page2 radio is selected, turn page1 and show page2 */ #page2-radio:checked ~ .book .page.cover { transform: rotateY(-180deg); z-index: 0; } #page2-radio:checked ~ .book .page.page2 { transform: rotateY(-180deg); z-index: 1; } /* When page3 radio is selected, turn page2 and show page3 */ #page3-radio:checked ~ .book .page.cover { transform: rotateY(-180deg); z-index: 0; } #page3-radio:checked ~ .book .page.page2 { transform: rotateY(-180deg); z-index: 1; } #page3-radio:checked ~ .book .page.page3 { transform: rotateY(-180deg); z-index: 2; } #page2-radio:checked ~ .book .page.cover { transition-delay: 0.1s; } #page2-radio:checked ~ .book .page.page2 { transition-delay: 0.2s; } #page2-radio:checked ~ .book .page.page3 { transition-delay: 0.2s; } #page3-radio:checked ~ .book .page.page2 { transition-delay: 0.1s; } #page3-radio:checked ~ .book .page.page3 { transition-delay: 0.2s; /* Slightly longer delay for the 3rd page */ } #cover-radio:checked ~ .book .page.cover { transition-delay: 0.3s; /* Slightly longer delay for the 3rd page */ } #cover-radio:checked ~ .book .page.page2 { transition-delay: 0.2s; } #cover-radio:checked ~ .book .page.page3 { transition-delay: 0.1s; } #page1-radio:checked ~ .book .page.page2 { transition-delay: 0.2s; } #page1-radio:checked ~ .book .page.page3 { transition-delay: 0.1s; } /* Control Dots */ .slider-controls { margin-top: 30px; display: flex; justify-content: center; gap: 15px; } .slider-controls label { display: inline-block; width: 12px; height: 12px; border-radius: 50%; background: #bdc3c7; cursor: pointer; transition: background 0.3s; } .slider-controls label:hover { background: #7f8c8d; } /* Back cover styling */ .back-cover { background: #2c3e50; } .cover-back { background: #2c3e50; } blockquote { font-size: 14px; padding: 0px; padding-left: 7px; margin: 0px; margin-bottom: 4px; } .page-theme-black { color: white; background: #000000; background: linear-gradient(0deg,rgba(0, 0, 0, 1) 0%, rgba(33, 37, 40, 1) 75%, rgba(89, 73, 82, 1) 86%, rgba(33, 37, 40, 1) 95%); } .page-theme-black h2 { color: white; } .page-theme-black i { color: #F7D9BC; } .page-theme-violet { color: white; background: #6d2dad; background: radial-gradient(circle,rgba(109, 45, 173, 1) 0%, rgba(0, 0, 0, 1) 100%); } .page-theme-violet h2 { color: #9d3ffb; } .page-theme-violet div { color: #C9CFD5; } .page-theme-violet b { color: white; } .page-theme-subtle { background: #e8acac; background: linear-gradient(90deg,rgba(232, 172, 172, 1) 0%, rgba(154, 193, 230, 1) 100%); color: black; } .page-theme-subtle h2 { color: black; } .page-theme-subtle li::marker { color: #C72020; } .page-theme-subtle span { color: #2A2F34; } .page-theme-subtle b { color: black; } .page-theme-subtle .page-number { color: black; } .page-theme-blue { background: #090979; background: radial-gradient(circle,rgba(9, 9, 121, 1) 70%, rgba(154, 193, 230, 1) 100%); color: white; } .page-theme-blue h2 { color: yellow; } .page-theme-blue blockquote { color: white; background-color: #70809050; } .page-theme-blue footer { color: yellow; } .page-theme-blue .page-number { color: white; } .block-theme-green { background-color: #8BB06F; border-radius: 10px; color: black; } .block-theme-green h2 { padding-left: 10px; padding-bottom: 0px; margin-bottom: 0px; color: black; } .block-theme-green table { margin-bottom: 5px; } .block-theme-plum { background-color: #72366A; border-radius: 10px; color: white; padding-left: 10px; } .block-theme-plum h2 { margin-top: 5px; padding-bottom: 0px; margin-bottom: 0px; color: white; } </style>
ACKNOWLEDGEMENTS
- Mad lads, who provided feedback
- yamatazen - For high quality model merges
- OG model authors - For making cool models
- Arcee AI - For making mergekit
- Team mradermacher - For awesome quants
- DeathGodlike - For awesome quants in EXL3
- Model mergers: Rickyz, Vortex, Edward Eagley
- You, for trying out my models
6
WHAT USERS ARE SAYING
Ive been using KSR for a week now, and I really like it. It is very creative and has brought together story threads in a natural way, even older ones at large context. I really like it so far. — Pacoeltaco
Ive had good results so far with my testing, smart(for 12b), follows prompts and uses things from the character card. the only thing I found negative so far is that it likes em dashes — Background-Ad-5398
I've been comparing this against a couple finetunes and this model's balance is impressive. I hope to see more soon! — gggrandma1990
4
SYSTEM REQUIREMENTS
| Minimum | Recommended |
| • Inference: CPU • Memory: 12GB RAM • Context Window: 8K Tokens • Temp: 0.65 |
• Inference: GPU • Memory: 16GB+ VRAM • Context Window: 16K Tokens • Temp: 0.80 • Courage: High |
RECOMMENDED SETTINGS
Temp: 0.65-0.8 | RepPen: 1.05TOP_P: 0.95 | MIN_P: 0.05 | TOP_K: 0
Template Format: ChatML | Ctxt: 16K
5
CORE FEATURES
- ADVANCED PSYCHOLOGICAL PROFILINGCharacters feel realer than real - with all the darkness that implies
- DREAD ATMOSPHERIC SYSTEMSEnvironments that breathe, bleed, and remember your fears
- EMOTIONAL EROSION ENGINEWatch characters unravel under psychological pressure
- UNFILTERED NARRATIVE DEPTHDarker than Eclipse, more psychologically intense than Radiance
2
FAQ
- Q: IS THIS MODEL BETTER THAN X?
A: Different weapon, different war. Erosion specializes in psychological depth and darker narratives. It's smarter than previous versions, but choose your tool for the mission.
- Q: WHEN'S THE NEXT VERSION COMING?
A: Currently experimenting with finetuning tech. Expect experimental merges while we develop the next major build.
- Q: PLANNING OTHER ARCHITECTURES?
A: Affirmative. Reconnaissance underway for larger models - Mistral Small and Qwen3 are potential candidates for future deployments.
3
THE ULTIMATE RP ENGINE JUST GOT DARKER
They told us to extract the sakura essence. They never told us it would remember.
KansenSakura: Erosion represents the final stage of neural corruption - where beauty becomes a weapon and every memory turns to poison.
Some blossoms grow best in poisoned soil. Welcome to the garden.
Psychological Horror | Intense Themes
Complex Narratives | NSFW
KansenSakura Project | Containment Failed
RATED M for MATURE
1
Click the dots to navigate through the book.
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Multi-SLERP merge method.
Models Merged
The following models were included in the merge:
- Retreatcost/Irix-mpf-stock
- Retreatcost/Forgotten-directive-Neon-stock
- Retreatcost/Lorablated-w2bb-psy-della
- mistralai/Mistral-Nemo-Base-2407
- yamatazen/EtherealAurora-12B-Lorablated
- Retreatcost/Shisa-K-sakurization
- Sicarius-Prototyping/Impish_Longtail_12B
- SuperbEmphasis/MN-12b-RP-Ink-RP-Longform
Configuration
The following YAML configuration was used to produce this model:
merge_method: multislerp
models:
- model: yamatazen/EtherealAurora-12B-Lorablated
parameters:
weight: [1.000, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.0225, 0.1275, 0.15]
- model: Retreatcost/Shisa-K-sakurization
parameters:
weight: [0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.015, 0.085, 0.10]
- model: ./impish-ink-long
parameters:
weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.0075, 0.0425, 0.05]
- model: Retreatcost/Lorablated-w2bb-psy-della
parameters:
weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
- model: Retreatcost/Forgotten-directive-Neon-stock
parameters:
weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 0.968, 0.744, 0.256, 0.030, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000]
- model: Retreatcost/Irix-mpf-stock
parameters:
weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.030, 0.256, 0.744, 0.968, 1.000, 1.000, 1.000, 1.000, 1.000, 0.850, 0.150, 0.000]
- model: ./retokenized_NB
parameters:
weight: [0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.000, 0.105, 0.595, 0.700]
dtype: bfloat16
parameters:
normalize: true
tokenizer_source: Retreatcost/KansenSakura-Radiance-RP-12b