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index.html
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<html>
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<head>
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<meta charset="utf-8">
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<script src="lib/bindings/utils.js"></script>
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<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/dist/vis-network.min.css" integrity="sha512-WgxfT5LWjfszlPHXRmBWHkV2eceiWTOBvrKCNbdgDYTHrT2AeLCGbF4sZlZw3UMN3WtL0tGUoIAKsu8mllg/XA==" crossorigin="anonymous" referrerpolicy="no-referrer" />
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<script src="https://cdnjs.cloudflare.com/ajax/libs/vis-network/9.1.2/dist/vis-network.min.js" integrity="sha512-LnvoEWDFrqGHlHmDD2101OrLcbsfkrzoSpvtSQtxK3RMnRV0eOkhhBN2dXHKRrUU8p2DGRTk35n4O8nWSVe1mQ==" crossorigin="anonymous" referrerpolicy="no-referrer"></script>
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<center>
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<h1></h1>
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</center>
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<!-- <link rel="stylesheet" href="../node_modules/vis/dist/vis.min.css" type="text/css" />
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<script type="text/javascript" src="../node_modules/vis/dist/vis.js"> </script>-->
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<link
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href="https://cdn.jsdelivr.net/npm/[email protected]/dist/css/bootstrap.min.css"
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rel="stylesheet"
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integrity="sha384-eOJMYsd53ii+scO/bJGFsiCZc+5NDVN2yr8+0RDqr0Ql0h+rP48ckxlpbzKgwra6"
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crossorigin="anonymous"
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/>
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<script
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src="https://cdn.jsdelivr.net/npm/[email protected]/dist/js/bootstrap.bundle.min.js"
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integrity="sha384-JEW9xMcG8R+pH31jmWH6WWP0WintQrMb4s7ZOdauHnUtxwoG2vI5DkLtS3qm9Ekf"
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crossorigin="anonymous"
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></script>
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<center>
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<h1></h1>
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</center>
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<style type="text/css">
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#mynetwork {
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width: 100%;
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height: 1200px;
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background-color: #ffffff;
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border: 1px solid lightgray;
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position: relative;
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float: left;
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}
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#loadingBar {
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position:absolute;
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top:0px;
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left:0px;
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width: 100%;
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height: 1200px;
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background-color:rgba(200,200,200,0.8);
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-webkit-transition: all 0.5s ease;
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-moz-transition: all 0.5s ease;
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-ms-transition: all 0.5s ease;
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-o-transition: all 0.5s ease;
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transition: all 0.5s ease;
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opacity:1;
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}
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#bar {
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position:absolute;
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top:0px;
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left:0px;
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width:20px;
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height:20px;
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margin:auto auto auto auto;
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border-radius:11px;
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border:2px solid rgba(30,30,30,0.05);
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background: rgb(0, 173, 246); /* Old browsers */
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box-shadow: 2px 0px 4px rgba(0,0,0,0.4);
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}
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#border {
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position:absolute;
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top:10px;
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left:10px;
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width:500px;
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height:23px;
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margin:auto auto auto auto;
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box-shadow: 0px 0px 4px rgba(0,0,0,0.2);
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border-radius:10px;
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}
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#text {
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position:absolute;
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top:8px;
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left:530px;
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width:30px;
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height:50px;
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margin:auto auto auto auto;
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font-size:22px;
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color: #000000;
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}
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div.outerBorder {
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position:relative;
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top:400px;
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width:600px;
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height:44px;
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margin:auto auto auto auto;
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border:8px solid rgba(0,0,0,0.1);
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background: rgb(252,252,252); /* Old browsers */
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background: -moz-linear-gradient(top, rgba(252,252,252,1) 0%, rgba(237,237,237,1) 100%); /* FF3.6+ */
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background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,rgba(252,252,252,1)), color-stop(100%,rgba(237,237,237,1))); /* Chrome,Safari4+ */
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background: -webkit-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Chrome10+,Safari5.1+ */
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background: -o-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* Opera 11.10+ */
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background: -ms-linear-gradient(top, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* IE10+ */
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background: linear-gradient(to bottom, rgba(252,252,252,1) 0%,rgba(237,237,237,1) 100%); /* W3C */
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filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#fcfcfc', endColorstr='#ededed',GradientType=0 ); /* IE6-9 */
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border-radius:72px;
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box-shadow: 0px 0px 10px rgba(0,0,0,0.2);
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}
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</style>
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</head>
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<body>
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<div class="card" style="width: 100%">
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<div id="mynetwork" class="card-body"></div>
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<div id="loadingBar">
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<div id="text">0%</div>
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<script type="text/javascript">
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// initialize global variables.
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var edges;
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var nodes;
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var allNodes;
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var allEdges;
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var nodeColors;
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var originalNodes;
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var network;
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var container;
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var options, data;
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var filter = {
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item : '',
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property : '',
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value : []
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};
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// This method is responsible for drawing the graph, returns the drawn network
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function drawGraph() {
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var container = document.getElementById('mynetwork');
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// parsing and collecting nodes and edges from the python
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nodes = new vis.DataSet([{"color": "#97c2fc", "id": "karawalla/mistral_b_karawalla_test3", "label": "karawalla/mistral_b_karawalla_test3", "shape": "dot", "size": 10.015831570988055, "title": "Downloads: 69"}, {"color": "#97c2fc", "id": "jsaurabh/mistral_finance_alpaca_finetuned_tmp", "label": "jsaurabh/mistral_finance_alpaca_finetuned_tmp", "shape": "dot", "size": 10.000236292104299, "title": "Downloads: 3"}, {"color": "#97c2fc", "id": "DangFutures/sft_dang", "label": "DangFutures/sft_dang", "shape": "dot", "size": 10.0, "title": "Downloads: 2"}, {"color": "#97c2fc", "id": "LoneStriker/dolphin-2.2.1-mistral-7b-3.0bpw-h6-exl2", "label": "LoneStriker/dolphin-2.2.1-mistral-7b-3.0bpw-h6-exl2", "shape": "dot", "size": 10.000708876312897, "title": "Downloads: 5"}, {"color": "#97c2fc", "id": "Igorsp/mistral_b_finetuned_python", "label": "Igorsp/mistral_b_finetuned_python", "shape": "dot", "size": 10.000236292104299, "title": "Downloads: 3"}, {"color": "#97c2fc", "id": "dongwang218/zephyr-7b-sft-full", "label": "dongwang218/zephyr-7b-sft-full", "shape": "dot", "size": 10.0, "title": "Downloads: 2"}, {"color": "#97c2fc", "id": "sampathkumar2023/mistral_b_nuware_website_finetuned_test", "label": "sampathkumar2023/mistral_b_nuware_website_finetuned_test", "shape": "dot", "size": 10.000236292104299, "title": "Downloads: 3"}, {"color": "#97c2fc", "id": "Ka4on/mistral_final", "label": "Ka4on/mistral_final", "shape": "dot", "size": 10.002599213147292, "title": "Downloads: 13"}, {"color": "#97c2fc", "id": "Ka4on/us_test2", "label": "Ka4on/us_test2", "shape": "dot", "size": 10.000945168417198, "title": "Downloads: 6"}, {"color": "#97c2fc", "id": "HuggingFaceH4/mistral-7b-sft-alpha", "label": "HuggingFaceH4/mistral-7b-sft-alpha", "shape": "dot", "size": 10.064507744473719, "title": "Downloads: 275"}, {"color": "#97c2fc", "id": "vicky4s4s/content-generations-beta", "label": "vicky4s4s/content-generations-beta", "shape": "dot", "size": 10.0, "title": "Downloads: 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{"color": "#97c2fc", "id": "qblocks/mistral_7b_norobots", "label": "qblocks/mistral_7b_norobots", "shape": "dot", "size": 10.001890336834395, "title": "Downloads: 10"}, {"color": "#97c2fc", "id": "LoneStriker/dolphin-2.2.1-mistral-7b-8.0bpw-h6-exl2", "label": "LoneStriker/dolphin-2.2.1-mistral-7b-8.0bpw-h6-exl2", "shape": "dot", "size": 10.001417752625796, "title": "Downloads: 8"}, {"color": "#97c2fc", "id": "Tonic/mistralmed", "label": "Tonic/mistralmed", "shape": "dot", "size": 10.066161789203814, "title": "Downloads: 282"}, {"color": "#97c2fc", "id": "ankity09/zephyr-7b-beta-5.0bpw-exl2", "label": "ankity09/zephyr-7b-beta-5.0bpw-exl2", "shape": "dot", "size": 10.001181460521497, "title": "Downloads: 7"}, {"color": "#97c2fc", "id": "LoneStriker/OpenHermes-2.5-Mistral-7B-6.0bpw-h6-exl2", "label": "LoneStriker/OpenHermes-2.5-Mistral-7B-6.0bpw-h6-exl2", "shape": "dot", "size": 10.000708876312897, "title": "Downloads: 5"}, {"color": "#97c2fc", "id": "llm-efficiency-challenge/hfvienna-4090-mistral_guanaco_1ep", "label": "llm-efficiency-challenge/hfvienna-4090-mistral_guanaco_1ep", "shape": "dot", "size": 10.002599213147292, "title": "Downloads: 13"}, {"color": "#97c2fc", "id": "Joetib/results", "label": "Joetib/results", "shape": "dot", "size": 10.000708876312897, "title": "Downloads: 5"}, {"color": "#97c2fc", "id": "Ronal999/mistralai-7B-v01-based-finetuned-using-ludwig-notmerged", "label": "Ronal999/mistralai-7B-v01-based-finetuned-using-ludwig-notmerged", "shape": "dot", "size": 10.010396852589171, "title": "Downloads: 46"}, {"color": "#97c2fc", "id": "Supersaiyan1729/mistrail_28_31_1", "label": "Supersaiyan1729/mistrail_28_31_1", "shape": "dot", "size": 10.001654044730095, "title": "Downloads: 9"}, {"color": "#97c2fc", "id": "lewtun/zephyr-7b-sft", "label": "lewtun/zephyr-7b-sft", "shape": "dot", "size": 10.28780378303659, "title": "Downloads: 1220"}, {"color": "#97c2fc", "id": "Doctor-Shotgun/mistral-v0.1-supercot-lora", "label": "Doctor-Shotgun/mistral-v0.1-supercot-lora", "shape": "dot", "size": 10.002835505251593, "title": "Downloads: 14"}, {"color": "#97c2fc", "id": "BAH-ML-ASC/Dolphin-7b-chat", "label": "BAH-ML-ASC/Dolphin-7b-chat", "shape": "dot", "size": 10.004016965773088, "title": "Downloads: 19"}, {"color": "#97c2fc", "id": "HuggingFaceH4/mistral-7b-sft-beta", "label": "HuggingFaceH4/mistral-7b-sft-beta", "shape": "dot", "size": 11.177443555723585, "title": "Downloads: 4985"}, {"color": "#97c2fc", "id": "teknium/Mistral-Trismegistus-7B", "label": "teknium/Mistral-Trismegistus-7B", "shape": "dot", "size": 11.628052598622418, "title": "Downloads: 6892"}, {"color": "#97c2fc", "id": "AlistairPullen/test-mistral-memory", "label": "AlistairPullen/test-mistral-memory", "shape": "dot", "size": 10.002835505251593, "title": "Downloads: 14"}, {"color": "#97c2fc", "id": "BAH-ML-ASC/Zephyr-7b-beta", "label": "BAH-ML-ASC/Zephyr-7b-beta", "shape": "dot", "size": 10.002362921042993, "title": "Downloads: 12"}, {"color": "#97c2fc", "id": "lewtun/mistral-7b-sft-ultrachat-arithmo-50", "label": "lewtun/mistral-7b-sft-ultrachat-arithmo-50", "shape": "dot", "size": 10.000945168417198, "title": "Downloads: 6"}, {"color": "#97c2fc", "id": "TanJing/zephyr-7b-sft-lora", "label": "TanJing/zephyr-7b-sft-lora", "shape": "dot", "size": 10.0, "title": "Downloads: 2"}, {"color": "#97c2fc", "id": "openaccess-ai-collective/neft-exp1", "label": "openaccess-ai-collective/neft-exp1", "shape": "dot", "size": 10.000472584208598, "title": "Downloads: 4"}, {"color": "#97c2fc", "id": "MNC-LLM/batch1_epochs4_lr0.0001_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16", "label": "MNC-LLM/batch1_epochs4_lr0.0001_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16", "shape": "dot", "size": 10.000236292104299, "title": "Downloads: 3"}, {"color": "#97c2fc", "id": "LoneStriker/zephyr-7b-beta-6.0bpw-h6-exl2", "label": "LoneStriker/zephyr-7b-beta-6.0bpw-h6-exl2", "shape": "dot", 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"mistralai/Mistral-7B-v0.1", "to": "lewtun/mistral-7b-sft-ultrachat-arithmo-25"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/zephyr-7b-beta-8.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "NurtureAI/zephyr-7b-beta-16k-AWQ"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "llm-efficiency-challenge/hfvienna-4090-mistral_guanaco_1ep"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ka4on/mistral_final"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2-Mistral-7B-5.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "mirodavide/Mistral-dm"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ka4on/mistral_ultrasound_1.1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "akjindal53244/peft_model_2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "BAH-ML-ASC/Zephyr-7b-beta"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "ravisv73/mistral_7b-qa-knowthyself"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "grv805/mistral7b-qlora-finetunined-gcp"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ka4on/mistral_radiology"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ka4on/mistral_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "karawalla/mistral_b_karawalla_test1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "karawalla/mistral_b_karawalla_test4"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "karawalla/mistral_b_karawalla_shtest1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Doctor-Shotgun/mistral-v0.1-7b-pippa-metharme-lora"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "agoncharenko1992/llm_challenge_evaluation"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "jujbob/my_mistral_lora"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2.5-Mistral-7B-8.0bpw-h8-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "ravisv73/mistral_7b-instruct-knowthyself"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Azulian/zephyr-merged-7b-travellers-02-awq"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "qblocks/mistral_7b_norobots"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Supersaiyan1729/mistrail_28_31_1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "fbanespo/mistral-b-doctor-conversation"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Supersaiyan1729/mistrail_28_31_final"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2.1-mistral-7b-8.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "ristew/mistral-7b-askhn"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2-Mistral-7B-6.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "nexus888/mistral_viggo_finetuned_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "qeternity/OpenHermes-2.5-Mistral-7B-8bpw-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Anish03/mistral_b_finance_finetuned_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "ankity09/zephyr-7b-beta-5.0bpw-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "openaccess-ai-collective/neft-exp2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "lewtun/mistral-7b-sft-ultrachat-arithmo-50"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "dvlamis/evilbot-mistral-7b-lora-adapter"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/zephyr-7b-beta-6.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Igorsp/mistral_b_finance_finetuned_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ka4on/us_test2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ka4on/mistral_radiology3.1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "drisspg/mathew_train_v1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "llm-efficiency-challenge/QuyAnh2005-4090-mistral-7b-neurips-v2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "typeof/zephyr-7b-beta-lora"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "souvik0306/mistral_7b_2epoch_norobots"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Joetib/results"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2-Mistral-7B-3.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2-Mistral-7B-4.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "lewtun/mistral-7b-sft-ultrachat-arithmo-full"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "mlabonne/zephyr-7b-beta-4.0bpw-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2-mistral-7b-4.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2-mistral-7b-6.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2.1-mistral-7b-3.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2.1-mistral-7b-4.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2.5-Mistral-7B-4.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2.5-Mistral-7B-5.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2.5-Mistral-7B-6.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "raphael-gl/fix-mistral"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "karawalla/mistral_b_karawalla_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Tensoic/Mistral-7B-v0.1-alpaca-2k-test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "openaccess-ai-collective/neft-exp1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "openaccess-ai-collective/neft-exp3"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "openaccess-ai-collective/neft-exp4"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "onuralp/Mistral-7B-v0.1-QLoRA-01"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "onuralp/Mistral-7B-v0.1-QLoRA-02"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "onuralp/Mistral-7B-v0.1-QLoRA-03"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/zephyr-7b-beta-3.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2-mistral-7b-3.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2-mistral-7b-5.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2-mistral-7b-8.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/dolphin-2.2.1-mistral-7b-5.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "GowthamMl/mistral-sql-generation-v2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "LoneStriker/OpenHermes-2.5-Mistral-7B-3.0bpw-h6-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "qeternity/OpenHermes-2.5-Mistral-7B-6bpw-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "DecisionOptimizationSystem/DeepFeatLLMZephyr7B"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Jasper0328/Changbai_Mistral7B_Finetuned"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Danieljyc/Mistral_7B_llr"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ka4on/mistral_ultrasound"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "jsaurabh/mistral_finance_alpaca_finetuned"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "jsaurabh/mistral_finance_alpaca_finetuned_tmp"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "sampathkumar2023/mistral_b_finance_finetuned_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "sampathkumar2023/mistral_b_nuware_website_finetuned_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "sampathkumar2023/mistral_b_nuware_no_context_finetuned_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "qeternity/OpenHermes-2.5-Mistral-7B-4.65bpw-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Mihir1108/mistral_json_data_finetuned"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Trelis/zephyr-7b-beta-function-calling-v2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "MMaitra/mistral_7b_instruct_finetuned_NPS"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "pkarypis/zephyr-7b-sft-full"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "lionelchg/zephyr-7b-sft-lora"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "MNC-LLM/batch1_epochs4_lr0.0001_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "pkarypis/zephyr-7b-sft-filtered-0.7"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Igorsp/mistral_b_finetuned_sql"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Igorsp/mistral_b_finetuned_python"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "joshhu1123/DPO-mistral-no1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "KantoRegion/lora-test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Igorsp/mistral-viggo-finetune"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "mirodavide/Mistral-neurips_dm"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Supersaiyan1729/mistrail_26_31_1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "skuma307/Gosu-Mistral-7B"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "GowthamMl/mistral-sql-generation"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "bartowski/zephyr-7b-beta-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Capstone-lpx/mistral_b_finance_finetuned_test"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "DangFutures/sft_dang"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "Ja3ck/Mistral-7b-Instruct-QLoRA-Neftune-e1"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "MNC-LLM/batch1_epochs4_lr1e-06_paged_adamw_32bit_cosine_length2048_warmup_0.05_max_grad1.0_grad_accu16"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "magnetic/zephyr-7b-sft-full"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "dongwang218/zephyr-7b-sft-full"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "TanJing/zephyr-7b-sft-lora"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "NurtureAI/dolphin-2.2.1-mistral-7b-16k-AWQ"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "NurtureAI/OpenHermes-2.5-Mistral-7B-16k-AWQ"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "TanJing/zephyr-7b-dpo-lora"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "alecwangcq/zephyr-7b-sft-full"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "vicky4s4s/content-generations-beta"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "silvacarl/zephyr-7b-beta-5.0bpw-exl2"}, {"from": "mistralai/Mistral-7B-v0.1", "to": "nminnie/zephyr-7b-sft-lora"}]);
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nodeColors = {};
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allNodes = nodes.get({ returnType: "Object" });
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nodeColors[nodeId] = allNodes[nodeId].color;
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}
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allEdges = edges.get({ returnType: "Object" });
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data = {nodes: nodes, edges: edges};
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var options = {"physics": {"barnesHut": {"gravitationalConstant": -30000, "centralGravity": 0.3, "springLength": 250, "springConstant": 0.04, "damping": 0.09}, "minVelocity": 0.75}};
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network = new vis.Network(container, data, options);
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network.on("stabilizationProgress", function(params) {
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var maxWidth = 496;
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var widthFactor = params.iterations/params.total;
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var width = Math.max(minWidth,maxWidth * widthFactor);
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document.getElementById('bar').style.width = width + 'px';
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document.getElementById('text').innerHTML = Math.round(widthFactor*100) + '%';
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});
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network.once("stabilizationIterationsDone", function() {
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document.getElementById('text').innerHTML = '100%';
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document.getElementById('bar').style.width = '496px';
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document.getElementById('loadingBar').style.opacity = 0;
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// really clean the dom element
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setTimeout(function () {document.getElementById('loadingBar').style.display = 'none';}, 500);
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});
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return network;
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drawGraph();
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</script>
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</body>
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</html>
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