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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - moe
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+ - frankenmoe
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+ - merge
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+ - mergekit
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+ - Himitsui/Kaiju-11B
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+ - Sao10K/Fimbulvetr-11B-v2
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+ - decapoda-research/Antares-11b-v2
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+ - beberik/Nyxene-v3-11B
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+ base_model:
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+ - Himitsui/Kaiju-11B
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+ - Sao10K/Fimbulvetr-11B-v2
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+ - decapoda-research/Antares-11b-v2
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+ - beberik/Nyxene-v3-11B
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+ model-index:
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+ - name: Umbra-v3-MoE-4x11b
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+ results:
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: AI2 Reasoning Challenge (25-Shot)
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+ type: ai2_arc
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+ config: ARC-Challenge
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+ split: test
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+ args:
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+ num_few_shot: 25
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+ metrics:
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+ - type: acc_norm
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+ value: 68.43
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: HellaSwag (10-Shot)
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+ type: hellaswag
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+ split: validation
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+ args:
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+ num_few_shot: 10
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+ metrics:
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+ - type: acc_norm
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+ value: 87.83
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+ name: normalized accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: MMLU (5-Shot)
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+ type: cais/mmlu
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+ config: all
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 65.99
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: TruthfulQA (0-shot)
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+ type: truthful_qa
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+ config: multiple_choice
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+ split: validation
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+ args:
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+ num_few_shot: 0
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+ metrics:
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+ - type: mc2
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+ value: 69.3
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: Winogrande (5-shot)
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+ type: winogrande
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+ config: winogrande_xl
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+ split: validation
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 83.9
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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+ name: Open LLM Leaderboard
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+ - task:
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+ type: text-generation
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+ name: Text Generation
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+ dataset:
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+ name: GSM8k (5-shot)
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+ type: gsm8k
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+ config: main
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+ split: test
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+ args:
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+ num_few_shot: 5
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+ metrics:
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+ - type: acc
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+ value: 63.08
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+ name: accuracy
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+ source:
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+ url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=Steelskull/Umbra-v3-MoE-4x11b
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+ name: Open LLM Leaderboard
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+ ---
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+ <!DOCTYPE html>
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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, #2E3440 0%, #1A202C 100%);
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+ color: #D8DEE9;
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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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+
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+ .container {
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+ width: 80%;
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+ max-width: 800px;
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+ margin: 20px auto;
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+ background-color: rgba(255, 255, 255, 0.02);
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+ padding: 20px;
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+ box-shadow: 0 4px 10px rgba(0, 0, 0, 0.2);
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+ backdrop-filter: blur(10px);
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+ .header h1 {
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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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+
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+ .update-section {
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+ margin-top: 30px;
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+ }
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+
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+ .update-section h2 {
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+ color: #88C0D0;
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+
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+ .update-section p {
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+ font-size: 16px;
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+ color: #ECEFF4;
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+ }
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+
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+ .info img {
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+ border-radius: 10px;
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+ margin-bottom: 15px;
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+ }
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+
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+ a {
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+
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+ }
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+ .button:hover {
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+ }
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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>Umbra-v3-MoE-4x11b 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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+ </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>Umbra-v3-MoE-4x11b</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/MHmVGOLGh4I5MfQ83iiXS.jpeg">
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+ <p><strong>Creator:</strong> <a href="https://huggingface.co/Steelskull" target="_blank">SteelSkull</a></p>
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+ <p><strong>About Umbra-v3-MoE-4x11b:</strong> A Mixture of Experts model designed for general assistance with a special knack for storytelling and RP/ERP</p>
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+ <p>Integrates models from notable sources for enhanced performance in diverse tasks.</p>
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+ <p><strong>Source Models:</strong></p>
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+ <ul>
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+ <li><a href="https://huggingface.co/Himitsui/Kaiju-11B">Himitsui/Kaiju-11B</a></li>
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+ <li><a href="https://huggingface.co/Sao10K/Fimbulvetr-11B-v2">Sao10K/Fimbulvetr-11B-v2</a></li>
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+ <li><a href="https://huggingface.co/decapoda-research/Antares-11b-v2">decapoda-research/Antares-11b-v2</a></li>
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+ <li><a href="https://huggingface.co/beberik/Nyxene-v3-11B">beberik/Nyxene-v3-11B</a></li>
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+ </ul>
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+ </div>
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+ <div class="update-section">
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+ <h2>Update-Log:</h2>
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+ <p>The [Umbra Series] keeps rolling out from the [Lumosia Series] garage, aiming to be your digital Alfred with a side of Shakespeare for those RP/ERP nights.</p>
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+ <p><strong>What's Fresh in v3?</strong></p>
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+ <p>Didn’t reinvent the wheel, just slapped on some fancier rims. Upgraded the models and tweaked the prompts a bit. Now, Umbra's not just a general use LLM; it's also focused on spinning stories and "Stories".</p>
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+ <p><strong>Negative Prompt Minimalism</strong></p>
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+ <p>Got the prompts to do a bit of a diet and gym routine—more beef on the positives, trimming down the negatives as usual with a dash of my midnight musings.</p>
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+ <p><strong>Still Guessing, Aren’t We?</strong></p>
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+ <p>Just so we're clear, "v3" is not the messiah of updates. It’s another experiment in the saga.</p>
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+ <p>Dive into Umbra v3 and toss your two cents my way. Your feedback is the caffeine in my code marathon.</p>
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+ <p><strong></strong>Exl2 available by:</strong></p>
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+ <p>EXL2-Rpcal = <a href="https://huggingface.co/AzureBlack/Umbra-v3-MoE-4x11b-exl2-8bpw-8h-rpcal" target="_blank">AzureBlack</p>
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+ <p></p>
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+ <p>GGUF = <a href="https://huggingface.co/mradermacher/Umbra-v3-MoE-4x11b-GGUF" target="_blank">mradermacher</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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+
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+ # [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
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+ Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_Steelskull__Umbra-v3-MoE-4x11b)
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+
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+ | Metric |Value|
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+ |---------------------------------|----:|
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+ |Avg. |73.09|
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+ |AI2 Reasoning Challenge (25-Shot)|68.43|
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+ |HellaSwag (10-Shot) |87.83|
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+ |MMLU (5-Shot) |65.99|
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+ |TruthfulQA (0-shot) |69.30|
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+ |Winogrande (5-shot) |83.90|
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+ |GSM8k (5-shot) |63.08|
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+
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