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| <h1>G2-MS-Nyxora-27b</h1> |
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| <div class="info"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/64545af5ec40bbbd01242ca6/rqcAEjzvLpQwu2Cg3g1hH.png" alt="Model Image"> |
| <p>Now that the cute anime girl has your attention.</p> |
| <p><strong>Creator:</strong> <a href="https://huggingface.co/Steelskull" target="_blank">SteelSkull</a></p> |
| <h1>About G2-MS-Nyxora-27b:</h1> |
| <pre><code><strong>Model Name Legend =</strong> |
| "G2 = Gemma 2" |
| "MS = Model_stock"</code></pre> |
| <p>This model represents an experimental foray into 27b models. Feedback is welcome for further improvements.</p> |
| <p>G2-MS-Nyxora-27b combines multiple models' strengths to provide a versatile assistant for various tasks, including general use, storytelling, and roleplay (ERP & RP). </p> |
| <p>The Model seems to be on the prudish side from google's training but seems to be fixed with a good system prompt. (Provided in files)</p> |
| <p>The Model_stock merge method ensures the model remains focused, tailored, and high-quality.</p> |
| <h2>Quants:</h2> |
| <p>Will add as found or im notified of their creation (If you know of one create a discussion!) |
| <li><a href="https://huggingface.co/mradermacher">Mradermacher</a>, GGUF Quants</li> |
| <li><a href="https://huggingface.co/mradermacher/G2-MS-Nyxora-27b-GGUF" target="_blank">Mradermacher/G2-MS-Nyxora-27b-GGUF</a></li> |
| <li><a href="https://huggingface.co/mradermacher/G2-MS-Nyxora-27b-i1-GGUF" target="_blank">Mradermacher/G2-MS-Nyxora-27b-i1-GGUF</a></li> |
| <li><a href="https://huggingface.co/SteelQuants">SteelQuants</a>, My Personal Quants</li> |
| <li><a href="https://huggingface.co/SteelQuants/G2-MS-Nyxora-27b-Q4_K_M-GGUF"> - G2-MS-Nyxora-27b-Q4_K_M-GGUF</a></li> |
| <li><a href="https://huggingface.co/SteelQuants/G2-MS-Nyxora-27b-Q6_K-GGUF"> - G2-MS-Nyxora-27b-Q6_K-GGUF</a></li> |
| <p></p> |
| <h2>Config:</h2> |
| <pre><code>MODEL_NAME = "G2-MS-Nyxora-27b" |
| yaml_config = """ |
| base_model: google/gemma-2-27b-it |
| merge_method: model_stock |
| dtype: bfloat16 |
| models: |
| - model: TheDrummer/Big-Tiger-Gemma-27B-v1 |
| - model: migtissera/Tess-v2.5-Gemma-2-27B-alpha |
| """</code></pre> |
| <h4>Template:</h4> |
| <pre><code><start_of_turn>user |
| {{ if .System }}{{ .System }} {{ end }}{{ .Prompt }}<end_of_turn> |
| <start_of_turn>model |
| {{ .Response }}<end_of_turn></code></pre> |
| <h4>Source Model Details:</h4> |
| <p><strong>TheDrummer/Big-Tiger-Gemma-27B-v1:</strong><br> |
| A decensored version of the Gemma 27B model. |
| </p> |
| <p><strong>migtissera/Tess-v2.5-Gemma-2-27B-alpha:</strong><br> |
| 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. |
| </p> |
| <p><strong>Gemma-2-27b-it:</strong><br> |
| 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. |
| </p> |
| <h4>Merge Method Details:</h4> |
| <p>Model_stock Uses some neat geometric properties of fine tuned models to compute good weights for linear interpolation.</p> |
| <p><strong>I've had a few people ask about donations so here's a link:</strong</p> |
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