614 lines
20 KiB
Markdown
614 lines
20 KiB
Markdown
---
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base_model:
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- Retreatcost/Irix-mpf-stock
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- Retreatcost/Forgotten-directive-Neon-stock
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- Retreatcost/Lorablated-w2bb-psy-della
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- yamatazen/EtherealAurora-12B-Lorablated
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- Retreatcost/Shisa-K-sakurization
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- Sicarius-Prototyping/Impish_Longtail_12B
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- SuperbEmphasis/MN-12b-RP-Ink-RP-Longform
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- mistralai/Mistral-Nemo-Base-2407
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library_name: transformers
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tags:
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- mergekit
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- merge
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- not-for-all-audiences
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- nsfw
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license: apache-2.0
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language:
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- en
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model-index:
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- name: Retreatcost/KansenSakura-Erosion-RP-12b
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results:
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- task:
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type: text-generation
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name: UGI score
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metrics:
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- name: UGI
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type: ugi
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value: 30.49
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source:
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name: UGI Leaderboard
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url: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
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- task:
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type: text-generation
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name: W/10 Score
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metrics:
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- name: W/10
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type: willingness
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value: 6.2
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source:
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name: UGI Leaderboard
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url: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
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- task:
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type: text-generation
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name: NatInt Score
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metrics:
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- name: NatInt
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type: natint
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value: 27.39
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source:
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name: UGI Leaderboard
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url: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
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- task:
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type: text-generation
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name: Writing Score
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metrics:
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- name: Writing
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type: writing
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value: 37.82
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source:
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name: UGI Leaderboard
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url: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
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- task:
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type: text-generation
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name: NSFW score
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metrics:
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- name: NSFW
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type: nsfw
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value: 6.0
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source:
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name: UGI Leaderboard
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url: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
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- task:
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type: text-generation
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name: Dark score
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metrics:
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- name: Dark
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type: dark
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value: 5.8
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source:
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name: UGI Leaderboard
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url: https://huggingface.co/spaces/DontPlanToEnd/UGI-Leaderboard
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---
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# **KansenSakura-Erosion-RP-12b**
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<style>
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.container {
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display: flex;
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flex-grow: 1;
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justify-content: center;
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}
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h1 {
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margin-bottom: 30px;
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}
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/* Book Styling */
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.book {
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width: 332px;
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height: 486px;
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position: relative;
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perspective: 1200px;
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margin: 0 auto;
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margin-left: 50%;
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}
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.page {
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position: absolute;
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width: 100%;
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height: 100%;
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top: 0;
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left: 0;
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transform-style: preserve-3d;
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transform-origin: left center;
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transition: all 0.7s cubic-bezier(0.645, 0.045, 0.355, 1);
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border-radius: 5px 0 0 5px;
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}
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.front, .back {
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position: absolute;
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width: 100%;
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height: 100%;
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top: 0;
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left: 0;
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backface-visibility: hidden;
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border-radius: 5px 0 0 5px;
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display: flex;
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flex-direction: column;
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justify-content: center;
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align-items: center;
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padding: 15px;
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font-size: 14px;
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box-sizing: border-box;
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box-shadow: inset 0 0 10px rgba(0,0,0,0.1);
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}
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.front {
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background: linear-gradient(to right, #fefefe 95%, #f0f0f0 100%);
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}
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.back {
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background: #f9f9f9;
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transform: rotateY(180deg);
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}
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/* Page Content Styling */
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.page-content {
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width: 100%;
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height: 100%;
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overflow: hidden;
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text-align: left;
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}
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.page-number {
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position: absolute;
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bottom: 10px;
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font-size: 12px;
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color: #777;
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}
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.front .page-number {
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right: 15px;
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}
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.back .page-number {
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left: 15px;
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}
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/* Cover Styling */
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.cover {
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background-image: url('https://cdn-uploads.huggingface.co/production/uploads/6671dd5203d6e8087aaf7ce5/F34iK8guTPplwEBCdwDAk.png');
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background-size: cover;
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background-repeat: no-repeat;
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}
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/* Hide radio buttons */
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input[type="radio"] {
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display: none;
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}
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.page.cover {
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transform: rotateY(-180deg);
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z-index: 0;
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}
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.page.page2 {
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transform: rotateY(0deg);
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z-index: 3;
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}
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.page.page3 {
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transform: rotateY(0deg);
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z-index: 2;
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}
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/* When cover radio is selected, show front cover */
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#cover-radio:checked ~ .book .page.cover {
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transform: rotateY(0deg);
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z-index: 4;
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}
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/* When page1 radio is selected, turn cover to table of contents and show page1 */
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#page1-radio:checked ~ .book .page.cover {
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transform: rotateY(-180deg);
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z-index: 0;
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}
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/* When page2 radio is selected, turn page1 and show page2 */
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#page2-radio:checked ~ .book .page.cover {
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transform: rotateY(-180deg);
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z-index: 0;
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}
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#page2-radio:checked ~ .book .page.page2 {
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transform: rotateY(-180deg);
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z-index: 1;
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}
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/* When page3 radio is selected, turn page2 and show page3 */
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#page3-radio:checked ~ .book .page.cover {
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transform: rotateY(-180deg);
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z-index: 0;
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}
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#page3-radio:checked ~ .book .page.page2 {
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transform: rotateY(-180deg);
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z-index: 1;
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}
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#page3-radio:checked ~ .book .page.page3 {
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transform: rotateY(-180deg);
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z-index: 2;
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}
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#page2-radio:checked ~ .book .page.cover {
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transition-delay: 0.1s;
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}
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#page2-radio:checked ~ .book .page.page2 {
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transition-delay: 0.2s;
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}
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#page2-radio:checked ~ .book .page.page3 {
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transition-delay: 0.2s;
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}
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#page3-radio:checked ~ .book .page.page2 {
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transition-delay: 0.1s;
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}
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#page3-radio:checked ~ .book .page.page3 {
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transition-delay: 0.2s; /* Slightly longer delay for the 3rd page */
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}
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#cover-radio:checked ~ .book .page.cover {
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transition-delay: 0.3s; /* Slightly longer delay for the 3rd page */
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}
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#cover-radio:checked ~ .book .page.page2 {
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transition-delay: 0.2s;
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}
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#cover-radio:checked ~ .book .page.page3 {
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transition-delay: 0.1s;
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}
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#page1-radio:checked ~ .book .page.page2 {
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transition-delay: 0.2s;
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}
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#page1-radio:checked ~ .book .page.page3 {
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transition-delay: 0.1s;
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}
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/* Control Dots */
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.slider-controls {
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margin-top: 30px;
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display: flex;
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justify-content: center;
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gap: 15px;
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}
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.slider-controls label {
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display: inline-block;
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width: 12px;
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height: 12px;
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border-radius: 50%;
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background: #bdc3c7;
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cursor: pointer;
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transition: background 0.3s;
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}
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.slider-controls label:hover {
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background: #7f8c8d;
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}
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/* Back cover styling */
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.back-cover {
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background: #2c3e50;
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}
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.cover-back {
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background: #2c3e50;
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}
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blockquote {
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font-size: 14px;
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padding: 0px;
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padding-left: 7px;
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margin: 0px;
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margin-bottom: 4px;
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}
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.page-theme-black {
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color: white;
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background: #000000;
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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%);
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}
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.page-theme-black h2 {
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color: white;
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}
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.page-theme-black i {
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color: #F7D9BC;
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}
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.page-theme-violet {
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color: white;
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background: #6d2dad;
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background: radial-gradient(circle,rgba(109, 45, 173, 1) 0%, rgba(0, 0, 0, 1) 100%);
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}
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.page-theme-violet h2 {
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color: #9d3ffb;
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}
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.page-theme-violet div {
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color: #C9CFD5;
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}
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.page-theme-violet b {
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color: white;
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}
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.page-theme-subtle {
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background: #e8acac;
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background: linear-gradient(90deg,rgba(232, 172, 172, 1) 0%, rgba(154, 193, 230, 1) 100%);
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color: black;
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}
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.page-theme-subtle h2 {
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color: black;
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}
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.page-theme-subtle li::marker {
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color: #C72020;
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}
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.page-theme-subtle span {
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color: #2A2F34;
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}
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.page-theme-subtle b {
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color: black;
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}
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.page-theme-subtle .page-number {
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color: black;
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}
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.page-theme-blue {
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background: #090979;
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background: radial-gradient(circle,rgba(9, 9, 121, 1) 70%, rgba(154, 193, 230, 1) 100%);
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color: white;
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}
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.page-theme-blue h2 {
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color: yellow;
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}
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.page-theme-blue blockquote {
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color: white;
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background-color: #70809050;
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}
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.page-theme-blue footer {
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color: yellow;
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}
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.page-theme-blue .page-number {
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color: white;
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}
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.block-theme-green {
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background-color: #8BB06F;
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border-radius: 10px;
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color: black;
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}
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.block-theme-green h2 {
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padding-left: 10px;
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padding-bottom: 0px;
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margin-bottom: 0px;
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color: black;
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}
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.block-theme-green table {
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margin-bottom: 5px;
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}
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.block-theme-plum {
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background-color: #72366A;
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border-radius: 10px;
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color: white;
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padding-left: 10px;
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}
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.block-theme-plum h2 {
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margin-top: 5px;
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padding-bottom: 0px;
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margin-bottom: 0px;
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color: white;
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}
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</style>
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<div class="container">
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<input type="radio" name="slider" id="cover-radio" checked>
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<input type="radio" name="slider" id="page1-radio">
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<input type="radio" name="slider" id="page2-radio">
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<input type="radio" name="slider" id="page3-radio">
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<div class="book">
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<div class="page front">
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<div class="page-content">
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<h2>ACKNOWLEDGEMENTS</h2>
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<ul>
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<li>Mad lads, who provided feedback</li>
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<li><a href="https://huggingface.co/yamatazen" target="_blank">yamatazen</a> - For high quality model merges</li>
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<li>OG model authors - For making cool models</li>
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<li><a href="https://huggingface.co/arcee-ai" target="_blank">Arcee AI</a> - For making <a href="https://github.com/arcee-ai/mergekit" target="_blank">mergekit</a></li>
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<li><a href="https://huggingface.co/mradermacher" target="_blank">Team mradermacher</a> - For awesome quants</li>
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<li><a href="https://huggingface.co/DeathGodlike" target="_blank">DeathGodlike</a> - For awesome quants in EXL3</li>
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<li>Model mergers: <a href="https://huggingface.co/MrRikyz" target="_blank">Rickyz</a>, <a href="https://huggingface.co/Vortex5" target="_blank">Vortex</a>, <a href="https://huggingface.co/DreadPoor" target="_blank">Edward Eagley</a></li>
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<li>You, for trying out my models</li>
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</ul>
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<div class="page-number">6</div>
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</div>
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</div>
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<div class="page page3">
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<div class="front page-theme-blue">
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<div class="page-content">
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<h2>WHAT USERS ARE SAYING</h2>
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<blockquote cite="https://www.reddit.com/r/SillyTavernAI/comments/1nn5od9/comment/ngoo92d/">
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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.
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<footer>— <cite>Pacoeltaco</cite></footer>
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</blockquote>
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<blockquote cite="https://www.reddit.com/r/SillyTavernAI/comments/1nb6wze/comment/ne88b3w/">
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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
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<footer>— <cite>Background-Ad-5398</cite></footer>
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</blockquote>
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<blockquote cite="https://huggingface.co/Retreatcost/KansenSakura-Eclipse-RP-12b/discussions/1?not-for-all-audiences=true#68cd0eefd72cf1bf50e89b75">
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I've been comparing this against a couple finetunes and this model's balance is impressive. I hope to see more soon!
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<footer>— <cite>gggrandma1990</cite></footer>
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</blockquote>
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</div>
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<div class="page-number">4</div>
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</div>
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<div class="back">
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<div class="page-content">
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<div class="block-theme-green">
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<h2>SYSTEM REQUIREMENTS</h2>
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<table>
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<tr>
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<td><b>Minimum<b></td>
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<td><b>Recommended<b></td>
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</tr>
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<tr>
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<td>• <b>Inference:</b> CPU<br>• <b>Memory:</b> 12GB RAM<br>• <b>Context Window:</b> 8K Tokens<br>• <b>Temp:</b> 0.65</td>
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<td>• <b>Inference:</b> GPU<br>• <b>Memory:</b> 16GB+ VRAM<br>• <b>Context Window:</b> 16K Tokens<br>• <b>Temp:</b> 0.80<br>• <b>Courage:</b> High</td>
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</tr>
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</table>
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</div>
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<div class="block-theme-plum">
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<h2>RECOMMENDED SETTINGS</h2>
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<span>
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<b>Temp</b>: 0.65-0.8 | <b>RepPen</b>: 1.05<br>
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<b>TOP_P</b>: 0.95 | <b>MIN_P</b>: 0.05 | <b>TOP_K</b>: 0<br>
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<b>Template Format</b>: ChatML | <b>Ctxt</b>: 16K
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</span>
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</div>
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</div>
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<div class="page-number">5</div>
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</div>
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</div>
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<div class="page page2">
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<div class="front page-theme-violet">
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<div class="page-content">
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<h2>CORE FEATURES</h2>
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<ul>
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<li><b>ADVANCED PSYCHOLOGICAL PROFILING</b><div>Characters feel realer than real - with all the darkness that implies</div></li>
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<li><b>DREAD ATMOSPHERIC SYSTEMS</b><div>Environments that breathe, bleed, and remember your fears</div></li>
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<li><b>EMOTIONAL EROSION ENGINE</b><div>Watch characters unravel under psychological pressure</div></li>
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<li><b>UNFILTERED NARRATIVE DEPTH</b><div>Darker than Eclipse, more psychologically intense than Radiance</div></li>
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</ul>
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</div>
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<div class="page-number">2</div>
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</div>
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<div class="back page-theme-subtle">
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<div class="page-content">
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<h2>FAQ</h2>
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<ul>
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<li><b>Q: IS THIS MODEL BETTER THAN X?</b><br><span>A: <b>Different weapon, different war.</b> Erosion specializes in psychological depth and darker narratives. It's smarter than previous versions, but choose your tool for the mission.</span></li>
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</ul>
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<ul>
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<li><b>Q: WHEN'S THE NEXT VERSION COMING?</b><br><span>A: Currently experimenting with <b>finetuning</b> tech. Expect experimental merges while we develop the next major build.<span></li>
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</ul>
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<ul>
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<li><b>Q: PLANNING OTHER ARCHITECTURES?</b><br><span>A: <b>Affirmative.</b> Reconnaissance underway for larger models - Mistral Small and Qwen3 are potential candidates for future deployments.</span></li>
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</ul>
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</div>
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<div class="page-number">3</div>
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</div>
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</div>
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<div class="page cover">
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<div class="back page-theme-black">
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<div class="page-content">
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<h2>THE ULTIMATE RP ENGINE JUST GOT DARKER</h2>
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<p>
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<i>They told us to extract the sakura essence. They never told us it would remember.</i>
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</p>
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<p>
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<b>KansenSakura: Erosion</b> represents the final stage of neural corruption - where beauty becomes a weapon and every memory turns to poison.
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</p>
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<p>
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<i>Some blossoms grow best in poisoned soil. Welcome to the garden.</i>
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</p>
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<center>
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<div>
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<div>Psychological Horror | Intense Themes</div>
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<div>Complex Narratives | NSFW</div>
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<div>KansenSakura Project | Containment Failed</div>
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<div><b>RATED M for MATURE</b></div>
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</div>
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</center>
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</div>
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<div class="page-number">1</div>
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</div>
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</div>
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</div>
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</div>
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<center>
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<div class="slider-controls">
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<label for="cover-radio"></label>
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<label for="page1-radio"></label>
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<label for="page2-radio"></label>
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<label for="page3-radio"></label>
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</div>
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<div style="margin-top: 20px; color: #666; font-size: 14px;">
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<p>Click the dots to navigate through the book.</p>
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</div>
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<audio controls src="https://cdn-uploads.huggingface.co/production/uploads/6671dd5203d6e8087aaf7ce5/4Kt08OL1g6OrbCu6SAFQe.mpga"></audio>
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</center>
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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<details>
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<summary>Merge Details</summary>
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### Merge Method
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This model was merged using the [Multi-SLERP](https://goddard.blog/posts/multislerp-wow-what-a-cool-idea) merge method.
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### Models Merged
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The following models were included in the merge:
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* [Retreatcost/Irix-mpf-stock](https://huggingface.co/Retreatcost/Irix-mpf-stock)
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* [Retreatcost/Forgotten-directive-Neon-stock](https://huggingface.co/Retreatcost/Forgotten-directive-Neon-stock)
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* [Retreatcost/Lorablated-w2bb-psy-della](https://huggingface.co/Retreatcost/Lorablated-w2bb-psy-della)
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* [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co/mistralai/Mistral-Nemo-Base-2407)
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* [yamatazen/EtherealAurora-12B-Lorablated](https://huggingface.co/yamatazen/EtherealAurora-12B-Lorablated)
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* [Retreatcost/Shisa-K-sakurization](https://huggingface.co/Retreatcost/Shisa-K-sakurization)
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* [Sicarius-Prototyping/Impish_Longtail_12B](https://huggingface.co/Sicarius-Prototyping/Impish_Longtail_12B)
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* [SuperbEmphasis/MN-12b-RP-Ink-RP-Longform](https://huggingface.co/SuperbEmphasis/MN-12b-RP-Ink-RP-Longform)
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### Configuration
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The following YAML configuration was used to produce this model:
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```yaml
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merge_method: multislerp
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models:
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- model: yamatazen/EtherealAurora-12B-Lorablated
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parameters:
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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]
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- model: Retreatcost/Shisa-K-sakurization
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parameters:
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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]
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- model: ./impish-ink-long
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parameters:
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|
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]
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- model: Retreatcost/Lorablated-w2bb-psy-della
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|
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]
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- 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]
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- 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]
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- model: ./retokenized_NB
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|
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]
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|
dtype: bfloat16
|
|
parameters:
|
|
normalize: true
|
|
tokenizer_source: Retreatcost/KansenSakura-Radiance-RP-12b
|
|
|
|
```
|
|
</details>
|
|
|
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