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  ---
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  base_model:
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- - NewEden/Snwy-SFT-GRPO-base
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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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-
 
 
 
 
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  ---
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- # snwy-grpo
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-
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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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-
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- ## Merge Details
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- ### Merge Method
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-
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- This model was merged using the Passthrough merge method using [NewEden/Snwy-SFT-GRPO-base](https://huggingface.co/NewEden/Snwy-SFT-GRPO-base) + /home/Ubuntu/Mango/verifiers/outputs/Fenrisúlfr/checkpoint-800 as a base.
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-
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- ### Models Merged
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-
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- The following models were included in the merge:
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-
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-
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- ### Configuration
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-
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- The following YAML configuration was used to produce this model:
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-
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- ```yaml
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- base_model: NewEden/Snwy-SFT-GRPO-base+/home/Ubuntu/Mango/verifiers/outputs/Fenrisúlfr/checkpoint-800
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- dtype: bfloat16
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- merge_method: passthrough
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- models:
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- - model: NewEden/Snwy-SFT-GRPO-base+/home/Ubuntu/Mango/verifiers/outputs/Fenrisúlfr/checkpoint-800
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-
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- ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  base_model:
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+ - snwy/frankenqwen3-8B-235B-dense-conversion-interleaved-untuned
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  library_name: transformers
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  tags:
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+ - fine-tuning
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+ - prose
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+ - GRPO
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+ - axolotl
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+ - finetune
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+ - roleplaying
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+ - creative-writing
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  ---
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+ <style>
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+ body {
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+ font-family: 'Quicksand', sans-serif;
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+ background: linear-gradient(135deg, #f9ffd1 0%, #e2fab5 100%);
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+ color: #000000;
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+ margin: 0;
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+ padding: 0;
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+ font-size: 16px;
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+ }
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+ .container {
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+ margin: 20px;
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+ background-color: rgba(255, 255, 255, 0.9);
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+ padding: 20px;
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+ border-radius: 12px;
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+ box-shadow: 0 4px 20px rgba(0, 0, 0, 0.3);
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+ border: 3px solid #000000;
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+ position: relative;
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+ }
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+ .header h1 {
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+ font-size: 28px;
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+ color: #000000;
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+ margin: 0 0 20px 0;
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+ text-align: center;
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+ text-decoration: underline;
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+ }
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+ .section {
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+ margin-top: 30px;
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+ }
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+ .section h2 {
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+ font-size: 24px;
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+ color: #000000;
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+ text-align: center;
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+ text-decoration: underline;
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+ }
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+ .info p {
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+ color: #000000;
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+ line-height: 1.6;
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+ font-size: 16px;
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+ }
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+ .info img {
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+ width: 85%;
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+ border-radius: 10px;
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+ margin: 0 auto 15px;
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+ display: block;
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+ box-shadow: 0 0 20px rgba(0, 0, 0, 0.3);
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+ border: 1px solid #000000;
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+ }
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+ a {
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+ color: #000000;
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+ text-decoration: none;
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+ transition: color 0.2s ease;
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+ }
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+ a:hover {
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+ color: #538125;
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+ }
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+ .button {
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+ display: inline-block;
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+ background-color: rgba(106, 168, 79, 0.8);
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+ color: #000000;
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+ padding: 10px 20px;
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+ border-radius: 5px;
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+ cursor: pointer;
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+ text-decoration: none;
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+ transition: background-color 0.2s ease, box-shadow 0.2s ease;
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+ }
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+ .button:hover {
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+ background-color: #538125;
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+ box-shadow: 0 0 15px rgba(106, 168, 79, 0.5);
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+ }
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+ pre {
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+ background-color: rgba(240, 248, 225, 0.95);
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+ padding: 15px;
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+ border-radius: 5px;
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+ overflow-x: auto;
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+ border: 1px solid #000000;
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+ }
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+ code {
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+ font-family: 'Courier New', monospace;
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+ color: #000000;
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+ }
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+ .info-card {
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+ background: rgba(249, 255, 235, 0.95);
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+ border: 1px solid #000000;
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+ border-radius: 8px;
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+ overflow: hidden;
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+ }
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+ .info-header {
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+ background: rgba(106, 168, 79, 0.1);
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+ padding: 20px;
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+ border-bottom: 1px solid #000000;
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+ }
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+ .info-header h3 {
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+ color: #000000;
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+ margin: 0 0 10px 0;
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+ font-size: 20px;
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+ text-align: center;
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+ text-decoration: underline;
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+ }
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+ .model-tags {
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+ display: flex;
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+ gap: 8px;
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+ flex-wrap: wrap;
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+ }
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+ .model-tag {
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+ background: rgba(106, 168, 79, 0.1);
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+ color: #000000;
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+ padding: 4px 8px;
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+ border-radius: 4px;
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+ font-size: 12px;
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+ border: 1px solid #000000;
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+ }
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+ .model-composition {
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+ padding: 20px;
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+ border-bottom: 1px solid #000000;
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+ }
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+ .model-composition h4 {
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+ color: #000000;
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+ margin: 0 0 15px 0;
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+ font-size: 16px;
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+ text-align: center;
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+ text-decoration: underline;
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+ }
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+ .composition-list {
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+ list-style: none;
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+ padding: 0;
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+ margin: 0;
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+ display: grid;
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+ gap: 10px;
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+ }
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+ .composition-list li {
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+ color: #000000;
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+ display: flex;
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+ align-items: baseline;
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+ gap: 8px;
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+ }
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+ .model-component {
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+ font-weight: 500;
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+ min-width: 120px;
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+ }
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+ .model-description {
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+ padding: 20px;
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+ background: rgba(255, 255, 255, 0.5);
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+ }
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+ .metrics-section {
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+ margin-bottom: 30px;
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+ }
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+ .metrics-section details {
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+ background: rgba(249, 255, 235, 0.95);
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+ border: 1px solid #000000;
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+ border-radius: 8px;
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+ padding: 15px;
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+ margin-bottom: 15px;
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+ }
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+ .metrics-section summary {
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+ color: #000000;
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+ font-size: 18px;
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+ cursor: pointer;
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+ outline: none;
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+ padding: 5px 0;
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+ text-align: center;
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+ }
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+ .creator-section {
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+ margin: 20px 0;
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+ }
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+ .creator-badge {
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+ display: inline-flex;
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+ align-items: center;
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+ background: rgba(249, 255, 235, 0.95);
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+ border: 1px solid #000000;
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+ border-radius: 8px;
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+ padding: 10px 15px;
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+ }
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+ .creator-label {
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+ color: #000000;
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+ font-size: 14px;
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+ margin-right: 8px;
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+ }
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+ .creator-link {
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+ display: flex;
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+ align-items: center;
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+ gap: 5px;
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+ color: #000000;
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+ text-decoration: none;
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+ transition: all 0.2s ease;
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+ }
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+ .creator-name {
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+ font-weight: 600;
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+ }
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+ .creator-arrow {
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+ font-size: 16px;
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+ transition: transform 0.2s ease;
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+ }
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+ .creator-link:hover .creator-arrow {
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+ transform: translateX(3px);
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+ }
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+ .link-arrow {
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+ display: inline-block;
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+ transition: transform 0.2s ease;
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+ }
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+ a:hover .link-arrow {
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+ transform: translateX(3px);
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+ }
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+ .axolotl-container {
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+ text-align: center;
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+ margin: 30px 0;
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+ display: flex;
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+ justify-content: center;
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+ align-items: center;
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+ }
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+ .axolotl-container img {
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+ max-width: 200px;
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+ width: 200px;
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+ height: auto;
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+ border-radius: 8px;
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+ box-shadow: 0 2px 10px rgba(0, 0, 0, 0.3);
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+ border: 1px solid #000000;
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+ background-color: #000000;
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+ padding: 15px;
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+ object-fit: contain;
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+ display: block;
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+ margin: 0 auto;
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+ }
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+ </style>
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+ <html lang="en">
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+ <head>
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+ <meta charset="UTF-8">
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+ <meta name="viewport" content="width=device-width, initial-scale=1.0">
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+ <title>Nanuq-R1 14B</title>
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+ <link href="https://fonts.googleapis.com/css2?family=Quicksand:wght@400;500;600&display=swap" rel="stylesheet">
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+ </head>
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+ <body>
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+ <div class="container">
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+ <div class="header">
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+ <h1>Nanuq-R1 14B</h1>
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+ </div>
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+ <div class="info">
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+ <img src="https://files.catbox.moe/i77ubj.webp" alt="Model banner">
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+ <div style="text-align: center;">
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+ <div class="creator-section">
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+ <div class="creator-badge">
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+ <span class="creator-label">Created by</span>
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+ <a href="https://huggingface.co/Delta-Vector" target="_blank" class="creator-link">
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+ <span class="creator-name">Delta-Vector</span>
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+ <span class="creator-arrow">→</span>
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+ </a>
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+ </div>
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+ </div>
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+ <div class="model-info">
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+ <h2>Model Information</h2>
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+ <div class="info-card">
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+ <div class="info-header">
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+ <h3>Nanuq-R1 14B</h3>
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+ <div class="model-tags">
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+ <span class="model-tag">GRPO Experiment</span>
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+ <span class="model-tag">Q3-235B-8B Merge/heal</span>
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+ <span class="model-tag">Competant assistant with decent writing!</span>
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+ </div>
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+ </div>
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+ <div class="model-description">
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+ <p>A sequel! The new Nanuq series is meant to be as a testing grounds for my GRPO experiments, This model is a full post-train heal of Snwy's Frankenmerge between Q3 235B and Q3 8B.</p>
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+ <p>Pretrained for 2 epochs on 1B tokens of Creative Writing data, Then SFT with alot of my own and Pocketdoc's Instruct dataset, and then GRPO'd with the Claude-2.7K dataset in an attempt to align it to be more like Claude with POLARS and Verifiers</p>
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+ <p>There's alot of things i could do different, As the reward almost falls flat as soon as you get out of warm-up but this model was pretty decent so decided to release it(Esp considering it's starting place), Hope people enjoy it!</p>
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+ </div>
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+ </div>
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+ </div>
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+ <div class="section">
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+ <h2>Quantized Versions</h2>
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+ <div class="info-card">
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+ <div class="model-composition">
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+ <h4>Available Downloads</h4>
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+ <ul class="composition-list">
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+ <li><span class="model-component"><a href="" target="_blank">GGUF Format</a></span>For use with LLama.cpp & Forks(Coming Soon!)</li>
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+ <li><span class="model-component"><a href="" target="_blank">EXL2 Format</a></span>For use with TabbyAPI (Coming soon!)</li>
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+ </ul>
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+ </div>
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+ </div>
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+ </div>
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+ <div class="section">
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+ <h2>Prompting</h2>
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+ <p>Model has been tuned with the ChatML formatting. A typical input would look like this:</p>
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+ <pre><code>"""&lt;|im_start|&gt;user
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+ Hi there!&lt;|im_end|&gt;
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+ &lt;|im_start|&gt;assistant
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+ Nice to meet you!&lt;|im_end|&gt;
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+ &lt;|im_start|&gt;user
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+ Can I ask a question?&lt;|im_end|&gt;
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+ &lt;|im_start|&gt;assistant
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+ """</code></pre>
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+ </div>
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+ <div class="section">
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+ <h2>Training</h2>
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+ <p>The training was done for 2 epochs of Pretraining and 2 epochs of SFT steps using 8 x <a href="https://www.nvidia.com/en-us/data-center/h200/">H200s</a> GPUs for the fine-tuning of the model.</p>
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+ <p style="text-align: center; margin-top: 20px;">
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+ <div class="axolotl-container">
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+ <a href="https://github.com/PrimeIntellect-ai/verifiers" target="_blank">
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+ <img src="https://files.catbox.moe/j36qbe.png" alt="Built with Verifiers">
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+ </a>
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+ <div class="axolotl-container">
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+ <a href="https://github.com/OpenAccess-AI-Collective/axolotl" target="_blank">
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+ <img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl">
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+ </a>
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+ </div>
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+ </div>
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+ <div class="section">
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+ <h2>Credits</h2>
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+ <p>Thank you to <a href="https://huggingface.co/intervitens">Intervitens</a>, <a href="https://huggingface.co/cgato">Cgato</a>, <a href="https://huggingface.co/kubernetes-bad">Kubernetes Bad</a>, <a href="https://huggingface.co/cgato">Cgato</a>, <a href="https://huggingface.co/snwy">Snwy</a>, <a href="https://huggingface.co/AuriAetherwiing">Auri</a>, <a href="https://x.com/willccbb">Will Brown</a> and most of all: <a href="https://huggingface.co/kalomaze">Kalomaze</a> </p>
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+ </div>
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+ </div>
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+ </div>