Create metadata.json
Browse files- metadata.json +168 -0
metadata.json
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{
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| 2 |
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"model_name": "Helion-V2",
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| 3 |
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"model_version": "2.0",
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| 4 |
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"model_type": "causal-lm",
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| 5 |
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"architecture": "helion",
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| 6 |
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"organization": "DeepXR",
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| 7 |
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"release_date": "2024-11-15",
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| 8 |
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"license": "Apache-2.0",
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| 9 |
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"homepage": "https://huggingface.co/DeepXR/Helion-V2",
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| 10 |
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"repository": "https://github.com/DeepXR/Helion-V2",
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| 11 |
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"documentation": "https://docs.deepxr.ai/helion-v2",
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| 12 |
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"parameters": {
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| 13 |
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"total": 7200000000,
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| 14 |
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"trainable": 7200000000,
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| 15 |
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"non_trainable": 0
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| 16 |
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},
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| 17 |
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"model_size": {
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| 18 |
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"fp32": "28.8 GB",
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| 19 |
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"fp16": "14.4 GB",
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| 20 |
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"bfloat16": "14.4 GB",
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| 21 |
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"int8": "7.2 GB",
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| 22 |
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"int4": "3.6 GB"
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| 23 |
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},
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| 24 |
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"context_length": 8192,
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| 25 |
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"vocabulary_size": 32768,
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| 26 |
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"languages": [
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| 27 |
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"en",
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| 28 |
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"es",
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| 29 |
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"fr",
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| 30 |
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"de",
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| 31 |
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"it",
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| 32 |
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"pt",
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| 33 |
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"nl",
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| 34 |
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"ru",
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| 35 |
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"zh",
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| 36 |
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"ja",
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| 37 |
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"ko",
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| 38 |
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"ar",
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| 39 |
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"hi"
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| 40 |
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],
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| 41 |
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"primary_language": "en",
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| 42 |
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"tasks": [
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| 43 |
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"text-generation",
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| 44 |
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"conversational",
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| 45 |
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"code-generation",
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| 46 |
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"question-answering",
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| 47 |
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"summarization",
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| 48 |
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"translation",
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| 49 |
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"creative-writing"
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| 50 |
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],
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| 51 |
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"framework": {
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| 52 |
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"name": "transformers",
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| 53 |
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"version": "4.40.0+",
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| 54 |
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"backend": "pytorch",
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| 55 |
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"backend_version": "2.1.0+"
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| 56 |
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},
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| 57 |
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"training": {
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| 58 |
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"dataset_tokens": 2500000000000,
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| 59 |
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"training_steps": 600000,
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| 60 |
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"epochs": 3,
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| 61 |
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"batch_size": 4194304,
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| 62 |
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"learning_rate": 0.0003,
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| 63 |
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"optimizer": "AdamW",
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| 64 |
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"hardware": "128x NVIDIA H100 80GB",
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| 65 |
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"training_time_days": 21,
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| 66 |
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"knowledge_cutoff": "2024-10-31"
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| 67 |
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},
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| 68 |
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"benchmarks": {
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| 69 |
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"mmlu": {
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| 70 |
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"score": 64.2,
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| 71 |
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"metric": "accuracy",
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| 72 |
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"shots": 5
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| 73 |
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},
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| 74 |
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"humaneval": {
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| 75 |
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"score": 48.2,
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| 76 |
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"metric": "pass@1",
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| 77 |
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"shots": 0
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| 78 |
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},
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| 79 |
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"hellaswag": {
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| 80 |
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"score": 80.5,
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| 81 |
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"metric": "accuracy",
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| 82 |
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"shots": 10
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| 83 |
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},
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| 84 |
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"truthfulqa": {
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| 85 |
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"score": 52.1,
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| 86 |
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"metric": "mc2_accuracy",
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| 87 |
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"shots": 0
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| 88 |
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},
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| 89 |
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"gsm8k": {
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| 90 |
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"score": 68.7,
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| 91 |
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"metric": "accuracy",
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| 92 |
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"shots": 8
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| 93 |
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},
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| 94 |
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"arc_challenge": {
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| 95 |
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"score": 58.3,
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| 96 |
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"metric": "accuracy",
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| 97 |
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"shots": 25
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| 98 |
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},
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| 99 |
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"mt_bench": {
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| 100 |
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"score": 7.85,
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| 101 |
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"metric": "rating",
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| 102 |
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"shots": 0
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| 103 |
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}
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| 104 |
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},
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| 105 |
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"safety": {
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| 106 |
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"toxigen_score": 0.08,
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| 107 |
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"crows_pairs_bias": 54.2,
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| 108 |
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"content_filtering": true,
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| 109 |
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"pii_detection": true,
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| 110 |
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"crisis_detection": true,
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| 111 |
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"safety_classifiers": [
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| 112 |
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"hate_speech",
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| 113 |
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"violence",
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| 114 |
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"sexual_content",
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| 115 |
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"self_harm",
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| 116 |
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"illegal_activity",
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| 117 |
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"child_safety"
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| 118 |
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]
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| 119 |
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},
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| 120 |
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"deployment": {
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| 121 |
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"recommended_gpu": [
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| 122 |
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"NVIDIA A100",
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| 123 |
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"NVIDIA H100",
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| 124 |
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"NVIDIA RTX 4090",
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| 125 |
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"NVIDIA A6000"
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| 126 |
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],
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| 127 |
+
"minimum_vram_gb": 16,
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| 128 |
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"recommended_vram_gb": 24,
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| 129 |
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"supports_quantization": true,
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| 130 |
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"quantization_formats": [
|
| 131 |
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"int8",
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| 132 |
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"int4",
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| 133 |
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"GPTQ",
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| 134 |
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"AWQ",
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| 135 |
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"GGUF"
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| 136 |
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],
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| 137 |
+
"inference_frameworks": [
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| 138 |
+
"transformers",
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| 139 |
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"vllm",
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| 140 |
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"llama.cpp",
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| 141 |
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"text-generation-inference"
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| 142 |
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]
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| 143 |
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},
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| 144 |
+
"contact": {
|
| 145 |
+
"email": "contact@deepxr.ai",
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| 146 |
+
"github": "https://github.com/DeepXR/Helion-V2",
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| 147 |
+
"twitter": "@DeepXR_AI",
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| 148 |
+
"discord": "https://discord.gg/deepxr"
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| 149 |
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},
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| 150 |
+
"tags": [
|
| 151 |
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"text-generation",
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| 152 |
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"conversational",
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| 153 |
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"code",
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| 154 |
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"instruction-following",
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| 155 |
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"pytorch",
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| 156 |
+
"causal-lm",
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| 157 |
+
"llm",
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| 158 |
+
"reasoning",
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| 159 |
+
"multilingual",
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| 160 |
+
"apache-2.0",
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| 161 |
+
"production-ready",
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| 162 |
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"safe-ai"
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| 163 |
+
],
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| 164 |
+
"checksum": {
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| 165 |
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"algorithm": "SHA256",
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| 166 |
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"model_files": "computed_on_upload"
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| 167 |
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}
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| 168 |
+
}
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