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Parent(s):
f2a11d4
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Browse files- README.md +247 -0
- config.json +30 -0
- model.safetensors.index.json +1 -0
- output-00001-of-00005.safetensors +3 -0
- output-00002-of-00005.safetensors +3 -0
- output-00003-of-00005.safetensors +3 -0
- output-00004-of-00005.safetensors +3 -0
- output-00005-of-00005.safetensors +3 -0
- special_tokens_map.json +24 -0
- tokenizer.json +0 -0
- tokenizer.model +3 -0
- tokenizer_config.json +43 -0
README.md
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1 |
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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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6 |
+
- merge
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+
- mergekit
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8 |
+
- 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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34 |
+
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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83 |
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source:
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84 |
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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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103 |
+
- 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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.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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config.json
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{
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"_name_or_path": "vicgalle/CarbonBeagle-11B-truthy",
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"architectures": [
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"MixtralForCausalLM"
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],
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"attention_dropout": 0.0,
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"bos_token_id": 1,
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"eos_token_id": 2,
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"hidden_act": "silu",
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"hidden_size": 4096,
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"initializer_range": 0.02,
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"intermediate_size": 14336,
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"max_position_embeddings": 32768,
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"model_type": "mixtral",
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"num_attention_heads": 32,
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"num_experts_per_tok": 4,
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"num_hidden_layers": 48,
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"num_key_value_heads": 8,
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"num_local_experts": 4,
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20 |
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"output_router_logits": false,
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21 |
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"rms_norm_eps": 1e-05,
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22 |
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"rope_theta": 10000.0,
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23 |
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"router_aux_loss_coef": 0.001,
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"sliding_window": null,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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"transformers_version": "4.38.2",
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"use_cache": false,
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"vocab_size": 32000
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}
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model.safetensors.index.json
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|
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|
19 |
+
"lstrip": false,
|
20 |
+
"normalized": false,
|
21 |
+
"rstrip": false,
|
22 |
+
"single_word": false
|
23 |
+
}
|
24 |
+
}
|
tokenizer.json
ADDED
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tokenizer.model
ADDED
@@ -0,0 +1,3 @@
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|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
|
3 |
+
size 493443
|
tokenizer_config.json
ADDED
@@ -0,0 +1,43 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"add_bos_token": true,
|
3 |
+
"add_eos_token": false,
|
4 |
+
"added_tokens_decoder": {
|
5 |
+
"0": {
|
6 |
+
"content": "<unk>",
|
7 |
+
"lstrip": false,
|
8 |
+
"normalized": false,
|
9 |
+
"rstrip": false,
|
10 |
+
"single_word": false,
|
11 |
+
"special": true
|
12 |
+
},
|
13 |
+
"1": {
|
14 |
+
"content": "<s>",
|
15 |
+
"lstrip": false,
|
16 |
+
"normalized": false,
|
17 |
+
"rstrip": false,
|
18 |
+
"single_word": false,
|
19 |
+
"special": true
|
20 |
+
},
|
21 |
+
"2": {
|
22 |
+
"content": "</s>",
|
23 |
+
"lstrip": false,
|
24 |
+
"normalized": false,
|
25 |
+
"rstrip": false,
|
26 |
+
"single_word": false,
|
27 |
+
"special": true
|
28 |
+
}
|
29 |
+
},
|
30 |
+
"additional_special_tokens": [],
|
31 |
+
"bos_token": "<s>",
|
32 |
+
"chat_template": "{% for message in messages %}{% if message['role'] == 'system' %}{% if message['content']%}{{'### System:\n' + message['content']+'\n\n'}}{% endif %}{% elif message['role'] == 'user' %}{{'### User:\n' + message['content']+'\n\n'}}{% elif message['role'] == 'assistant' %}{{'### Assistant:\n' + message['content']}}{% endif %}{% if loop.last and add_generation_prompt %}{{ '### Assistant:\n' }}{% endif %}{% endfor %}",
|
33 |
+
"clean_up_tokenization_spaces": false,
|
34 |
+
"eos_token": "</s>",
|
35 |
+
"legacy": true,
|
36 |
+
"model_max_length": 1000000000000000019884624838656,
|
37 |
+
"pad_token": "<s>",
|
38 |
+
"sp_model_kwargs": {},
|
39 |
+
"spaces_between_special_tokens": false,
|
40 |
+
"tokenizer_class": "LlamaTokenizer",
|
41 |
+
"unk_token": "<unk>",
|
42 |
+
"use_default_system_prompt": false
|
43 |
+
}
|