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--- |
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base_model: |
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- google/gemma-2-27b-it |
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- TheDrummer/Big-Tiger-Gemma-27B-v1 |
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- migtissera/Tess-v2.5-Gemma-2-27B-alpha |
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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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<!DOCTYPE html> |
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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>G2-MS-Nyxora-27b Data Card</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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<style> |
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body, html { |
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height: 100%; |
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margin: 0; |
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padding: 0; |
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font-family: 'Quicksand', sans-serif; |
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background: linear-gradient(135deg, #0a1128 0%, #1c2541 100%); |
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color: #e0e1dd; |
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font-size: 16px; |
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} |
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.container { |
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background-color: rgba(255, 255, 255, 0.05); |
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border-radius: 12px; |
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box-shadow: 0 4px 10px rgba(0, 0, 0, 0.3); |
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backdrop-filter: blur(10px); |
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border: 1px solid rgba(255, 255, 255, 0.1); |
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} |
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.header h1 { |
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font-size: 28px; |
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color: #4cc9f0; |
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margin: 0 0 20px 0; |
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text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.3); |
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} |
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.update-section h2 { |
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.update-section p { |
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font-size: 16px; |
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line-height: 1.6; |
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width: 100%; |
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border-radius: 10px; |
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margin-bottom: 15px; |
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a { |
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color: #4cc9f0; |
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code { |
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font-family: 'Courier New', monospace; |
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} |
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</style> |
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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>G2-MS-Nyxora-27b</h1> |
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</div> |
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<div class="info"> |
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<img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/rqcAEjzvLpQwu2Cg3g1hH.png" alt="Model Image"> |
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<p>Now that the cute anime girl has your attention.</p> |
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<p><strong>Creator:</strong> <a href="https://huggingface.co/Steelskull" target="_blank">SteelSkull</a></p> |
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<h1>About G2-MS-Nyxora-27b:</h1> |
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<pre><code><strong>Model Name Legend =</strong> |
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"G2 = Gemma 2" |
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"MS = Model_stock"</code></pre> |
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<p>This model represents an experimental foray into 27b models. Feedback is welcome for further improvements.</p> |
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<p>G2-MS-Nyxora-27b combines multiple models' strengths to provide a versatile assistant for various tasks, including general use, storytelling, and roleplay. model seems to be a little on the prudish side from google's training but is fixed with a good system prompt. (Provided in files)</p> |
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<p>The Model_stock merge method ensures the model remains focused, tailored, and high-quality.</p> |
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<h2>Quants:</h2> |
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<p>Will add as found or im notified of their creation (If you know of one create a discussion!) |
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<p><a href="https://huggingface.co/SteelQuants">SteelQuants</a>, Personal Quants</p> |
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<p><a href="https://huggingface.co/SteelQuants/G2-MS-Nyxora-27b-Q4_K_M-GGUF"> - G2-MS-Nyxora-27b-Q4_K_M-GGUF</a></p> |
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<p><a href="https://huggingface.co/SteelQuants/G2-MS-Nyxora-27b-Q6_K-GGUF"> - G2-MS-Nyxora-27b-Q6_K-GGUF</a></p> |
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<p></p> |
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<h2>Config:</h2> |
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<pre><code>MODEL_NAME = "G2-MS-Nyxora-27b" |
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yaml_config = """ |
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base_model: google/gemma-2-27b-it |
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merge_method: model_stock |
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dtype: bfloat16 |
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models: |
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- model: TheDrummer/Big-Tiger-Gemma-27B-v1 |
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- model: migtissera/Tess-v2.5-Gemma-2-27B-alpha |
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"""</code></pre> |
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<h4>Template:</h4> |
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<pre><code><start_of_turn>user |
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{{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn> |
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<start_of_turn>model |
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{{ .Response }}<end_of_turn></code></pre> |
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<h4>Source Model Details:</h4> |
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<p><strong>TheDrummer/Big-Tiger-Gemma-27B-v1:</strong><br> |
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A decensored version of the Gemma 27B model. |
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</p> |
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<p><strong>migtissera/Tess-v2.5-Gemma-2-27B-alpha:</strong><br> |
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The latest state-of-the-art model in the Tess series, Tess-v2.5.2, offers significant improvements in reasoning, coding, and mathematics. It ranks #1 on the MMLU benchmark among open weight models and outperforms several frontier closed models. |
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</p> |
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<p><strong>Gemma-2-27b-it:</strong><br> |
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A lightweight, state-of-the-art model from Google, well-suited for various text generation tasks. Its small size allows deployment in resource-limited environments, fostering AI innovation for all. |
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</p> |
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<h4>Merge Method Details:</h4> |
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<p>Model_stock Uses some neat geometric properties of fine tuned models to compute good weights for linear interpolation.</p> |
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</div> |
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</div> |
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</body> |
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</html> |
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