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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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ExllamaV2 version of the model created by [Steelskull](https://huggingface.co/Steelskull)! |
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Original Model https://huggingface.co/Steelskull/Umbra-v3-MoE-4x11b |
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calibration dataset [here.](https://huggingface.co/datasets/royallab/PIPPA-cleaned) |
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Requires ExllamaV2, which is being developed by turboderp https://github.com/turboderp/exllamav2 under an MIT license. |
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Test using 8192 measurement length and rp dataset. Perplexity came out a bit high so you may need to lower temperature to get coherent results. |
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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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.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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border-radius: 12px; |
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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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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: #ECEFF4; |
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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 { |
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margin-top: 30px; |
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} |
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.update-section h2 { |
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font-size: 24px; |
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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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line-height: 1.6; |
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color: #ECEFF4; |
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} |
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.info img { |
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width: 100%; |
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border-radius: 10px; |
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margin-bottom: 15px; |
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} |
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a { |
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color: #88C0D0; |
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text-decoration: none; |
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} |
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a:hover { |
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color: #A3BE8C; |
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} |
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.button { |
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display: inline-block; |
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background-color: #5E81AC; |
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color: #E5E9F0; |
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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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} |
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.button:hover { |
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background-color: #81A1C1; |
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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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</div> |
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</div> |
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</body> |
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</html> |
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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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| 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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